feature extraction

Generating Images with Perceptual Similarity Metrics based on Deep Networks NeurIPS 2016 HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection CVPR 2016 Identifying Hearing Loss from Learned Speech Kernels Interspeech 2016 Inferring Phonemic Classes from CNN Activation Maps Using Clustering Techniques Interspeech 2016 InterActive: Inter-Layer Activeness Propagation CVPR 2016 Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning CVPR 2016 Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant COLING 2016 Learning Convolutional Neural Networks for Graphs ICML 2016 Learning to Identify Sentence Parallelism in Student Essays COLING 2016 Learning to Match Aerial Images With Deep Attentive Architectures CVPR 2016 Local Background Enclosure for RGB-D Salient Object Detection CVPR 2016 Mongolian Named Entity Recognition System with Rich Features COLING 2016 Multi-Bias Non-linear Activation in Deep Neural Networks ICML 2016 Multiscale Adaptive Representation of Signals: I. The Basic Framework JMLR 2016 Native Language Identification Using Spectral and Source-Based Features Interspeech 2016 Noise Aware and Combined Noise Models for Speech Denoising in Unknown Noise Conditions Interspeech 2016 Novel Front-End Features Based on Neural Graph Embeddings for DNN-HMM and LSTM-CTC Acoustic Modeling Interspeech 2016 Novel Subband Autoencoder Features for Detection of Spoofed Speech Interspeech 2016 Novel Subband Autoencoder Features for Non-Intrusive Quality Assessment of Noise Suppressed Speech Interspeech 2016 Object based Scene Representations using Fisher Scores of Local Subspace Projections NeurIPS 2016 Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry CVPR 2016 Persistence weighted Gaussian kernel for topological data analysis ICML 2016 Phase-Aware Signal Processing for Automatic Speech Recognition Interspeech 2016 Pitch-Adaptive Front-End Features for Robust Children’s ASR Interspeech 2016 POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models CVPR 2016