Papers
Exemplar-centered Supervised Shallow Parametric Data Embedding
Martin Renqiang Min, Hongyu Guo, Dongjin Song
Count-Based Exploration in Feature Space for Reinforcement Learning
Jarryd Martin, Suraj Narayanan S., Tom Everitt et al.
Cross-Domain Recommendation: An Embedding and Mapping Approach
Tong Man, Huawei Shen, Xiaolong Jin et al.
WALKING WALKing walking: Action Recognition from Action Echoes
Qianli Ma, Lifeng Shen, Enhuan Chen et al.
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer
Yong Luo, Yonggang Wen, Tongliang Liu et al.
Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning
Yong Luo, Dacheng Tao, Yonggang Wen
Symmetric Non-negative Latent Factor Models for Undirected Large Networks
Xin Luo, Ming-Sheng Shang
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression
Minnan Luo, Lingling Zhang, Feiping Nie et al.
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process
Ling Luo, Bin Li, Irena Koprinska et al.
Image Matching via Loopy RNN
Donghao Luo, Bingbing Ni, Yichao Yan et al.
Sampling for Approximate Maximum Search in Factorized Tensor
Zhi Lu, Yang Hu, Bing Zeng
Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift
Yang Lu, Yiu-ming Cheung, Yuan Yan Tang
JM-Net and Cluster-SVM for Aerial Scene Classification
Xiaoqiang Lu, Yuan Yuan, Jie Fang
Learning User Dependencies for Recommendation
Yong Liu, Peilin Zhao, Xin Liu et al.
Deep Ordinal Regression Based on Data Relationship for Small Datasets
Yanzhu Liu, Adams Wai Kin Kong, Chi Keong Goh
Understanding How Feature Structure Transfers in Transfer Learning
Tongliang Liu, Qiang Yang, Dacheng Tao
Adaptive Group Sparse Multi-task Learning via Trace Lasso
Sulin Liu, Sinno Jialin Pan
Learning Concise Representations of Users' Influences through Online Behaviors
Shenghua Liu, Houdong Zheng, Huawei Shen et al.
Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems
Quan Liu, Hui Jiang, Andrew Evdokimov et al.
Accelerated Local Anomaly Detection via Resolving Attributed Networks
Ninghao Liu, Xiao Huang, Xia Hu
Improving Learning-from-Crowds through Expert Validation
Mengchen Liu, Liu Jiang, Junlin Liu et al.
Fast SVM Trained by Divide-and-Conquer Anchors
Meng Liu, Chang Xu, Chao Xu et al.
Modeling Hebb Learning Rule for Unsupervised Learning
Jia Liu, Maoguo Gong, Qiguang Miao
Semi-supervised Orthogonal Graph Embedding with Recursive Projections
Hanyang Liu, Junwei Han, Feiping Nie