Deep Learning for Fast and Accurate Fashion Item Detection Evgeny Smirnov Anton Kulinkin

Source URL: kddfashion2016.mybluemix.net

• Computational neuroscience
• Artificial neural networks
• Artificial intelligence
• Computer vision
• Convolutional neural network
• Deep learning
• Feature detection
• Outline of object recognition
• Image segmentation
• ImageNet
• Object detection
• Feature

Deep Residual Learning MSRA @ ILSVRC & COCO 2015 competitions Kaiming He with Xiangyu Zhang, Shaoqing Ren, Jifeng Dai, & Jian Sun Microsoft Research Asia (MSRA)

Source URL: image-net.org

MULTI-LOSS CONVOLUTIONAL NETWORKS FOR GLAND ANALYSIS IN MICROSCOPY A¨ıcha BenTaieb, Jeremy Kawahara and Ghassan Hamarneh Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada ABSTRACT

Source URL: www.cs.sfu.ca

• Computational neuroscience
• Computer vision
• Image segmentation
• Health informatics
• Medical technology
• Medical imaging
• Deep learning
• Convolutional neural network
• Medical image computing
• Market segmentation
• Artificial neural network
• Image analysis

Video Detection by Learning with Deep Representation and Spatio-Temporal Context Peng Han, Wenwu Yuan, Zhiwu Lu, and Ji-Rong Wen RUC_BDAI Team, Renmin University of China Abstract - The main components of our algorithm a

Source URL: image-net.org

• Image segmentation
• Conference on Computer Vision and Pattern Recognition
• Memory segmentation
• Rigid motion segmentation

arXiv:1412.3409v2 [cs.AI] 27 JanTeaching Deep Convolutional Neural Networks to Play Go Christopher Clark University of Edinburgh

Source URL: arxiv.org

• Computational neuroscience
• Artificial neural networks
• Computer vision
• Convolutional neural network
• Go software
• Computational statistics
• Deep learning
• Computer Go
• Artificial intelligence
• KGS Go Server
• Darkforest

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Improved MVDR beamforming using single-channel mask prediction networks Erdogan, H.; Hershey, J.R.; Watanabe, S.; Mandel, M.; Le Roux, J.

Source URL: www.merl.com

• Signal processing
• Sound recording
• Artificial neural networks
• Beamforming
• Sonar
• Microphones
• Speech recognition
• Deep learning
• Recurrent neural network
• Short-time Fourier transform
• Noise reduction
• Long short-term memory

Learning Natural Language Inference with LSTM Shuohang Wang School of Information Systems Singapore Management University

Source URL: arxiv.org

• Artificial neural networks
• Long short-term memory
• Artificial intelligence
• Recurrent neural network
• Word embedding
• Word2vec
• Automatic summarization
• Textual entailment
• Deep learning

Effective Multi-Modal Retrieval based on Stacked Auto-Encoders Wei Wang† , Beng Chin Ooi† , Xiaoyan Yang‡ , Dongxiang Zhang† , Yueting Zhuang§ †School of Computing, National University of Singapore, Singapore

Source URL: www.comp.nus.edu.sg

• Machine learning
• Artificial neural networks
• Multivariate statistics
• Deep learning
• Feature learning
• Autoencoder
• KeY
• K-nearest neighbors algorithm
• Dimensionality reduction

Core Machine Learning Techniques for Information Retrieval Luo Si Rong Jin

Source URL: www.sigir2011.org

• Machine learning
• Supervised learning
• Pattern recognition
• Learning to rank
• Semi-supervised learning
• Dimensionality reduction
• Deep learning
• Feature learning

Sensing Urban Space: from Street View Recognition, Event Inference to Understand Urban Behavior Fan Zhang1, Hui Lin12*, 1The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 2The Chinese University of

Source URL: ncgia.buffalo.edu

• Computational neuroscience
• Artificial neural networks
• Computer vision
• Deep learning
• Formal sciences
• Convolutional neural network
• Conference on Computer Vision and Pattern Recognition
• Image segmentation
• Urban design
• Artificial intelligence
• Spatial analysis