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» Boosting Methods for Regression
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ICML
2006
IEEE
14 years 11 months ago
Two-dimensional solution path for support vector regression
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
CVPR
2010
IEEE
14 years 3 months ago
Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
Swapna Joshi, Karthikeyan Shanmugavadivel, B.S. Ma...
AVSS
2009
IEEE
14 years 2 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
EPEW
2006
Springer
14 years 1 months ago
Precise Regression Benchmarking with Random Effects: Improving Mono Benchmark Results
Benchmarking as a method of assessing software performance is known to suffer from random fluctuations that distort the observed performance. In this paper, we focus on the fluctua...
Tomás Kalibera, Petr Tuma
CLEF
2008
Springer
13 years 12 months ago
Logistic Regression for Metadata: Cheshire Takes on Adhoc-TEL
In this paper we will briefly describe the approaches taken by the Berkeley Cheshire Group for the Adhoc-TEL 2008 tasks (Mono and Bilingual retrieval). Since the AdhocTEL task is ...
Ray R. Larson