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» Support Vector Machines for 3D Shape Processing
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ICIAP
2009
ACM
15 years 10 months ago
Estimation of Object Position Based on Color and Shape Contextual Information
This paper presents a method to estimate the position of object using contextual information. Although convention methods used only shape contextual information, color contextual i...
Takashi Ishihara, Kazuhiro Hotta, Haruhisa Takahas...
ML
2002
ACM
140views Machine Learning» more  ML 2002»
14 years 9 months ago
A Probabilistic Framework for SVM Regression and Error Bar Estimation
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin...
BMCBI
2007
107views more  BMCBI 2007»
14 years 10 months ago
Prediction of potential drug targets based on simple sequence properties
Background: During the past decades, research and development in drug discovery have attracted much attention and efforts. However, only 324 drug targets are known for clinical dr...
Qingliang Li, Luhua Lai
ICIP
2006
IEEE
15 years 11 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
ICML
2004
IEEE
15 years 10 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich