| Proper joint analysis of summary association statistics requires the adjustment of heterogeneity in SNP coverage pattern. | 0 | 0.34 | 2018 |
| Text Flow: A Unified Text Detection System in Natural Scene Images | 44 | 1.09 | 2015 |
| Guest Editorial: Deep Learning for Multimedia Computing. | 0 | 0.34 | 2015 |
| Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? | 0 | 0.34 | 2015 |
| Query Specific Rank Fusion for Image Retrieval | 70 | 1.22 | 2015 |
| Stochastic approximation Monte Carlo importance sampling for approximating exact conditional probabilities | 0 | 0.34 | 2014 |
| Communication Efficient Distributed Machine Learning with the Parameter Server. | 64 | 3.16 | 2014 |
| Layered depth-of-field rendering using color spreading | 0 | 0.34 | 2013 |
| Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations | 8 | 0.52 | 2013 |
| Large-scale deep learning at Baidu | 3 | 0.48 | 2013 |
| 3D convolutional neural networks for human action recognition. | 502 | 18.64 | 2013 |
| High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning. | 0 | 0.34 | 2013 |
| Accurate depth-of-field rendering using adaptive bilateral depth filtering | 3 | 0.41 | 2012 |
| Object-Centric spatial pooling for image classification | 98 | 3.03 | 2012 |
| Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval | 35 | 2.56 | 2012 |
| Multi-component models for object detection | 40 | 2.67 | 2012 |
| Temporal Social Tagging Based Collaborative Filtering Recommender for Digital Library. | 5 | 0.39 | 2012 |
| Collaborative ensemble learning: combining collaborative and content-based information filtering via hierarchical bayes | 36 | 1.87 | 2012 |
| Deep Learning of Invariant Features via Simulated Fixations in Video. | 45 | 1.90 | 2012 |
| Large-scale image classification: Fast feature extraction and SVM training | 157 | 7.30 | 2011 |
| Real-Time Clothing Recognition In Surveillance Videos | 40 | 1.73 | 2011 |
| Learning image representations from the pixel level via hierarchical sparse coding | 112 | 3.79 | 2011 |
| Training Conditional Random Fields Using Transfer Learning for Gesture Recognition | 9 | 0.52 | 2010 |
| Image classification using super-vector coding of local image descriptors | 255 | 11.86 | 2010 |
| Videos Semantic Indexing using Image Classification. | 1 | 0.35 | 2010 |
| Improved Local Coordinate Coding using Local Tangents | 78 | 7.55 | 2010 |
| Deep Coding Network. | 5 | 0.86 | 2010 |
| Detecting video events based on action recognition in complex scenes using spatio-temporal descriptor | 33 | 1.73 | 2009 |
| UCSC at Relevance Feedback Track. | 3 | 0.41 | 2009 |
| Linear spatial pyramid matching using sparse coding for image classification | 1495 | 66.25 | 2009 |
| Detecting human actions in surveillance videos | 0 | 0.34 | 2009 |
| Large-scale collaborative prediction using a nonparametric random effects model | 33 | 3.01 | 2009 |
| Human action detection by boosting efficient motion features | 16 | 1.13 | 2009 |
| Nonlinear Learning using Local Coordinate Coding. | 142 | 10.27 | 2009 |
| Tutorial summary: Learning with dependencies between several response variables | 3 | 0.43 | 2009 |
| Fast nonparametric matrix factorization for large-scale collaborative filtering | 78 | 3.85 | 2009 |
| Learning multiple graphs for document recommendations | 76 | 3.52 | 2008 |
| Stochastic Relational Models for Large-scale Dyadic Data using MCMC | 9 | 1.25 | 2008 |
| trNon-greedy active learning for text categorization using convex ansductive experimental design | 29 | 1.02 | 2008 |
| Surveillance Event Detection | 8 | 0.72 | 2008 |
| Deep Learning with Kernel Regularization for Visual Recognition | 15 | 1.35 | 2008 |
| Gaussian Process Models for Link Analysis and Transfer Learning | 26 | 1.57 | 2007 |
| Fast Inference in Infinite Hidden Relational Models | 1 | 0.49 | 2007 |
| Combining content and link for classification using matrix factorization | 103 | 6.19 | 2007 |
| Robust multi-task learning with t-processes | 35 | 1.58 | 2007 |
| Local learning projections | 21 | 1.16 | 2007 |
| Predictive Matrix-Variate t Models | 8 | 0.74 | 2007 |
| Multi-Output Regularized Feature Projection | 25 | 1.65 | 2006 |
| Supervised probabilistic principal component analysis | 35 | 2.56 | 2006 |
| Active learning via transductive experimental design | 93 | 3.92 | 2006 |
