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• Enumerate Lasso Solutions for Feature Selection

  Satoshi Hara, Takanori Maehara

  2017-02-13

• Latent Smooth Skeleton Embedding

  Li Wang, Qi Mao, Ivor Tsang

  2017-02-13

• Spectral Clustering with Brainstorming Process for Multi-View Data

  Jeong-Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim

  2017-02-13

• Beyond RPCA: Flattening Complex Noise in the Frequency Domain

  Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

  2017-02-13

• Structure Regularized Unsupervised Discriminant Feature Analysis

  Mingyu Fan, Xiaojun Chang, Dacheng Tao

  2017-02-13

• Convex Co-Embedding for Matrix Completion with Predictive Side Information

  Yuhong Guo

  2017-02-13

• Regularization for Unsupervised Deep Neural Nets

  Baiyang Wang, Diego Klabjan

  2017-02-13

• Learning Invariant Deep Representation for NIR-VIS Face Recognition

  Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan

  2017-02-13

• Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding

  Zeyi Wen, Bin Li, Ramamohanarao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang

  2017-02-13

• Generalization Analysis for Ranking Using Integral Operator

  Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

  2017-02-13

• Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting

  Lin Chen, Hamed Hassani, Amin Karbasi

  2017-02-13

• Sparse Subspace Clustering by Learning Approximation ℓ0 Codes

  Jun Li, Yu Kong, Yun Fu

  2017-02-13

• Parametric Dual Maximization for Non-Convex Learning Problems

  Yuxun Zhou, Zhaoyi Kang, Costas Spanos

  2017-02-13

• One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace

  Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu

  2017-02-13

• Structured Inference Networks for Nonlinear State Space Models

  Rahul Krishnan, Uri Shalit, David Sontag

  2017-02-13

• Unbiased Multivariate Correlation Analysis

  Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia

  2017-02-13

• Denoising Criterion for Variational Auto-Encoding Framework

  Daniel Im Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio

  2017-02-13

• Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting

  Xutao Li, Yunming Ye, Xiaofei Xu

  2017-02-13

• Confidence-Rated Discriminative Partial Label Learning

  Cai-Zhi Tang, Min-Ling Zhang

  2017-02-13

• Exploring Commonality and Individuality for Multi-Modal Curriculum Learning

  Chen Gong

  2017-02-13

• Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis

  Zhourong Chen, Nevin Zhang, Dit-Yan Yeung, Peixian Chen

  2017-02-13

• A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression

  Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low

  2017-02-13

• Infinite Kernel Learning: Generalization Bounds and Algorithms

  Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

  2017-02-13

• Cost-Sensitive Feature Selection via F-Measure Optimization Reduction

  Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

  2017-02-13

• Learning Deep Latent Space for Multi-Label Classification

  Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang

  2017-02-13