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» Evaluating learning algorithms and classifiers
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ICCV
2005
IEEE
14 years 2 months ago
Image Based Regression Using Boosting Method
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...
CEC
2003
IEEE
14 years 2 months ago
Comparison of sampling sizes for the co-evolution of cooperative agents
Abstract -_The evolution of a heterogeneousteam behavior can he a very demanding task. In order to promote the greatest level of specialization team members should be evolved in se...
Gary B. Parker, H. Joseph Blumenthal
PAMI
2010
225views more  PAMI 2010»
13 years 3 months ago
Semi-Supervised Classification via Local Spline Regression
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
Shiming Xiang, Feiping Nie, Changshui Zhang
TVCG
2012
191views Hardware» more  TVCG 2012»
11 years 11 months ago
Live Speech Driven Head-and-Eye Motion Generators
—This paper describes a fully automated framework to generate realistic head motion, eye gaze, and eyelid motion simultaneously based on live (or recorded) speech input. Its cent...
Binh Huy Le, Xiaohan Ma, Zhigang Deng
ACL
2012
11 years 11 months ago
Named Entity Disambiguation in Streaming Data
The named entity disambiguation task is to resolve the many-to-many correspondence between ambiguous names and the unique realworld entity. This task can be modeled as a classifi...
Alexandre Davis, Adriano Veloso, Altigran Soares d...