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Deep Learning for Mobile Multimedia
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Outgoing claims: the papers this work cites, builds on, or argues with.
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The Nature of Statistical Learning Theory
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Visualizing and Understanding Convolutional Networks
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Compression of Deep Neural Networks on the Fly
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An intelligent cloud-based data processing broker for mobile e-health multimedia applications
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The perceptron: A probabilistic model for information storage and organization in the brain.
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Learning long-term dependencies with gradient descent is difficult
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An iterative pruning algorithm for feedforward neural networks
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Gradient Flow in Recurrent Nets: The Difficulty of Learning LongTerm Dependencies
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iHear Food: Eating Detection Using Commodity Bluetooth Headsets
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Using distance estimation and deep learning to simplify calibration in food calorie measurement
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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
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Going deeper with convolutions
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DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
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Quantized Convolutional Neural Networks for Mobile Devices
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Deep Residual Learning for Image Recognition
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A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks
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Using Deep Learning for Energy Expenditure Estimation with wearable sensors
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Personalized speech recognition on mobile devices
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Exploring complementary features for iris recognition on mobile devices
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Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2005
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DeepSign: Deep learning for automatic malware signature generation and classification
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Proceedings of IEEE International Solid-State Circuits Conference - ISSCC '94
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14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks
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DaDianNao: A Machine-Learning Supercomputer
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The computational solution of optimal control problems with time lag
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Security Evaluation of Pattern Classifiers under Attack
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Learning Automata - A Survey
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Droiddetector: android malware characterization and detection using deep learning
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Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms
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Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs
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A deep semantic mobile application for thyroid cytopathology
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Proceedings of the 22nd international conference on Machine learning - ICML '05
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Extracting and composing robust features with denoising autoencoders
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Large-scale deep unsupervised learning using graphics processors
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FPGA programming for the masses
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FPGA Programming for the Masses
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Can Deep Learning Revolutionize Mobile Sensing?
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An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices
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Integrating mobile and cloud for PPG signal selection to monitor heart rate during intensive physical exercise
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Reducing distraction of smartwatch users with deep learning
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Hybrid network-on-chip architectures for accelerating deep learning kernels on heterogeneous manycore platforms
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Structured Pruning of Deep Convolutional Neural Networks
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ImageNet classification with deep convolutional neural networks
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Backpropagation Applied to Handwritten Zip Code Recognition
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A Fast Learning Algorithm for Deep Belief Nets
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Organization of Behavior : A Neuropsychological Theory
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PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS
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Learning Internal Representations by Error Propagation
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The Organization of Behavior; A Neuropsychological Theory
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Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
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GAN（Generative Adversarial Nets）
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Static Analysis of Shape in TensorFlow Programs
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Sequence to Sequence Learning with Neural Networks
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cuDNN: Efficient Primitives for Deep Learning
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Memory Bounded Deep Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1412.6115openalex-snapshot
Compressing Deep Convolutional Networks using Vector Quantization
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Compressing Neural Networks with the Hashing Trick
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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
inferredcites →https://doi.org/10.48550/arxiv.1602.04283openalex-snapshot
Deep Learning on FPGAs: Past, Present, and Future
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
inferredcites →https://doi.org/10.48550/arxiv.1605.04614openalex-snapshot
DeepLearningKit - an GPU Optimized Deep Learning Framework for Apple's iOS, OS X and tvOS developed in Metal and Swift
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DecomposeMe: Simplifying ConvNets for End-to-End Learning
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Learning Structured Sparsity in Deep Neural Networks
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Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
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Advances in Neural Information Processing Systems 19
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Why Does Unsupervised Pre-training Help Deep Learning?
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Project Adam: building an efficient and scalable deep learning training system
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Flexible, high performance convolutional neural networks for image classification
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Greedy Layer-Wise Training of Deep Networks
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Deep Transfer Learning Solution for Food Material Recognition Using Electronic Scales
inferred← citeshttps://doi.org/10.1109/tii.2020.2999901openalex-snapshot
A Tensor-Based Multiattributes Visual Feature Recognition Method for Industrial Intelligence
inferred← citeshttps://doi.org/10.1109/tpami.2021.3089687openalex-snapshot
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity
inferred← citeshttps://doi.org/10.1109/tsusc.2017.2728805openalex-snapshot
Predicting Transportation Carbon Emission with Urban Big Data
inferred← citeshttps://doi.org/10.1109/tvt.2019.2906509openalex-snapshot
Cooperative Collision Avoidance for Overtaking Maneuvers in Cellular V2X-Based Autonomous Driving
inferred← citeshttps://doi.org/10.1145/3123266.3123401openalex-snapshot
Incremental Accelerated Kernel Discriminant Analysis
inferred← citeshttps://doi.org/10.1145/3199668openalex-snapshot
Ensemble of Deep Models for Event Recognition
inferred← citeshttps://doi.org/10.1145/3311950openalex-snapshot
Machine Learning for Smart Building Applications
inferred← citeshttps://doi.org/10.1145/3391624openalex-snapshot
Few-shot Food Recognition via Multi-view Representation Learning
inferred← citeshttps://doi.org/10.1145/3394171.3413583openalex-snapshot
Dual Semantic Fusion Network for Video Object Detection
inferred← citeshttps://doi.org/10.1145/3404890openalex-snapshot
Blockchain-enabled Tensor-based Conditional Deep Convolutional GAN for Cyber-physical-Social Systems
inferred← citeshttps://doi.org/10.1145/3417293openalex-snapshot
Compatibility-Aware Web API Recommendation for Mashup Creation via Textual Description Mining
inferred← citeshttps://doi.org/10.1145/3472634.3472652openalex-snapshot
Trusted-DNN: A TrustZone-based Adaptive Isolation Strategy for Deep Neural Networks
inferred← citeshttps://doi.org/10.1145/3495532openalex-snapshot
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
inferred← citeshttps://doi.org/10.1145/3580737openalex-snapshot
Efficient Table-based Function Approximation on FPGAs Using Interval Splitting and BRAM Instantiation
inferred← citeshttps://doi.org/10.1155/2018/4172049openalex-snapshot
Adaptive Transmission Range Based Topology Control Scheme for Fast and Reliable Data Collection
inferred← citeshttps://doi.org/10.1155/2018/5429546openalex-snapshot
Construction Low Complexity and Low Delay CDS for Big Data Code Dissemination
inferred← citeshttps://doi.org/10.1155/2022/8533687openalex-snapshot
A Projection‐Free Adaptive Momentum Optimization Algorithm for Mobile Multimedia Computing
inferred← citeshttps://doi.org/10.1155/2022/8951961openalex-snapshot
Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1186/s13638-018-1313-0openalex-snapshot
A low redundancy data collection scheme to maximize lifetime using matrix completion technique
inferred← citeshttps://doi.org/10.1186/s13677-021-00251-9openalex-snapshot
Energy-aware adaptive offloading of soft real-time jobs in mobile edge clouds
inferred← citeshttps://doi.org/10.1631/fitee.1800573openalex-snapshot
Cyber security meets artificial intelligence: a survey
inferred← citeshttps://doi.org/10.20868/upm.thesis.71520openalex-snapshot
Point Cloud-Based Object Detection and Classification at the Edge of the Internet of Things
inferred← citeshttps://doi.org/10.23919/date48585.2020.9116236openalex-snapshot
PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones
inferred← citeshttps://doi.org/10.2478/amns-2024-3510openalex-snapshot
Dynamic Prediction and Strategy Generation of China’s Political Culture Development Based on Deep Learning Techniques
inferred← citeshttps://doi.org/10.32604/cmes.2022.018418openalex-snapshot
Deep Learning-Based Cancer Detection-Recent Developments, Trend and Challenges
inferred← citeshttps://doi.org/10.33022/ijcs.v13i1.3743openalex-snapshot
Facial Beauty Prediction Based on Deep Learning: A Review
inferred← citeshttps://doi.org/10.3389/frsen.2024.1374862openalex-snapshot
Machine learning versus deep learning in land system science: a decision-making framework for effective land classification
inferred← citeshttps://doi.org/10.3390/electronics13101799openalex-snapshot
Data-Driven Prediction Model for Analysis of Sensor Data
inferred← citeshttps://doi.org/10.3390/jsan6040026openalex-snapshot
Big Sensed Data Meets Deep Learning for Smarter Health Care in Smart Cities
inferred← citeshttps://doi.org/10.3390/min9050259openalex-snapshot
Threshold Value Determination Using Machine Learning Algorithms for Ba Interference with Eu in Coal and Coal Combustion Products by ICP-MS
inferred← citeshttps://doi.org/10.3390/s21072364openalex-snapshot
Accelerating On-Device Learning with Layer-Wise Processor Selection Method on Unified Memory
inferred← citeshttps://doi.org/10.4018/979-8-3693-0968-1.ch011openalex-snapshot
Smart Grid Fault Detection and Classification Framework Utilizing AIoT in India
inferred← citeshttps://doi.org/10.4018/979-8-3693-2165-2.ch004openalex-snapshot
Artificial Intelligence (AI) Algorithms in Nigeria's Integrated Marketing Communications
inferred← citeshttps://doi.org/10.4018/979-8-3693-6016-3.ch018openalex-snapshot
Review of the Literature on Using Machine and Deep Learning Techniques to Improve IoT Security
inferred← citeshttps://doi.org/10.46632/jemm/8/2/12openalex-snapshot
Evolving Mobile Communication Using Artificial Intelligence
inferred← citeshttps://doi.org/10.48550/arxiv.2108.11033openalex-snapshot
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity
inferred← citeshttps://doi.org/10.5220/0007979404470454openalex-snapshot
Distributing Intelligence among Cloud, Fog and Edge in Industrial Cyber-physical Systems
inferred← citeshttps://doi.org/10.70675/2bba1263z3b18z4b74zb83cz5a32ecdaa5ffopenalex-snapshot
Integration of BIM and digital technologies for smart indoor hazards management
inferred← citeshttps://doi.org/10.70675/cf8b862ezcf3fz42e5z8962z72300e99ea2bopenalex-snapshot
Formalization and Simulation of Bio-Inspired On-chip Dynamic Attractors for Low Power Computer Vision
inferred← citeshttps://doi.org/10.7717/peerj-cs.773openalex-snapshot
Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.