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ECML
1997
Springer
15 years 1 months ago
Constructing Intermediate Concepts by Decomposition of Real Functions
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...
Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Brat...
77
Voted
IJCV
2006
116views more  IJCV 2006»
14 years 9 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...
94
Voted
VTC
2008
IEEE
178views Communications» more  VTC 2008»
15 years 4 months ago
Downlink Linear Max-MSE Transceiver Design for Multiuser MIMO Systems Via Dual Decomposition
—This paper addresses the problem of joint linear transceiver design in the downlink of multiuser MIMO systems. We define the performance criterion as minimizing the maximal mea...
Yuanzhang Xiao, Shidong Zhou
MVA
2000
136views Computer Vision» more  MVA 2000»
14 years 11 months ago
Qualitative Decomposition of Range Images into Convex Parts / Objects
Previous works on range image segmentation concentrate on surface patches that can be well represented by certain mathematical functions. In this paper we consider the more qualit...
Xiaoyi Jiang
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
15 years 11 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu