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ICML
2007
IEEE
14 years 5 months ago
Comparisons of sequence labeling algorithms and extensions
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
Nam Nguyen, Yunsong Guo
CVPR
2008
IEEE
14 years 6 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
PAMI
2011
12 years 7 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
PERVASIVE
2009
Springer
13 years 11 months ago
Inferring Identity Using Accelerometers in Television Remote Controls
Abstract. We show that accelerometers embedded in a television remote control can be used to distinguish household members based on the unique way each person wields the remote. Th...
Keng-hao Chang, Jeffrey Hightower, Branislav Kveto...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
13 years 11 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang