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» Active Learning with Statistical Models
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119
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FGR
2006
IEEE
104views Biometrics» more  FGR 2006»
15 years 5 months ago
Face Alignment with Unified Subspace Optimization of Active Statistical Models
Active statistical models including active shape models and active appearance models are very powerful for face alignment. They are composed of two parts: the subspace model(s) an...
Ming Zhao 0003, Tat-Seng Chua
122
Voted
ICML
2003
IEEE
16 years 2 months ago
Online Choice of Active Learning Algorithms
This paper is concerned with the question of how to online combine an ensemble of active learners so as to expedite the learning progress during a pool-based active learning sessi...
Yoram Baram, Ran El-Yaniv, Kobi Luz
163
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LEGE
2004
171views Education» more  LEGE 2004»
15 years 3 months ago
The Model of Collaborative Learning GRID to activate interactivity for Knowledge Building
The purpose of this study is to support the learning activity in the Internet learning space. In this paper, we examine the GRID technology as the knowledge management for support...
Toshio Okamoto, Mizue Kayama
ECCV
2006
Springer
15 years 5 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
EMNLP
2009
14 years 11 months ago
First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
Zhifei Li, Jason Eisner