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» A selective sampling approach to active feature selection
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ICCV
2003
IEEE
15 years 3 months ago
Active Concept Learning for Image Retrieval in Dynamic Databases
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
Anlei Dong, Bir Bhanu
JCLC
2006
73views more  JCLC 2006»
14 years 10 months ago
A Unit Selection-based Speech Synthesis Approach for Mandarin Chinese
The paper presents a unit selection-based speech synthesis approach for mandarin Chinese. Unit selection-based approach generates speech by selecting proper units from a speech co...
Minghui Dong, Kim-Teng Lua, Haizhou Li
ICML
2008
IEEE
15 years 11 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
IVC
2006
259views more  IVC 2006»
14 years 10 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao
NEUROSCIENCE
2001
Springer
15 years 2 months ago
Neural Mechanisms for Representing Surface and Contour Features
Contours and surfaces are basic qualities which are processed by the visual system to aid the successful behavior of autonomous beings within the environment. There is increasing e...
Thorsten Hansen, Heiko Neumann