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CSDA
2007
99views more  CSDA 2007»
13 years 9 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
JMLR
2006
123views more  JMLR 2006»
13 years 9 months ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
IGARSS
2009
13 years 7 months ago
Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes
In the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) m...
Gabriel Vasile, Jean Philippe Ovarlez, Fréd...
JMLR
2010
127views more  JMLR 2010»
13 years 4 months ago
Content-based Image Retrieval with Multinomial Relevance Feedback
The paper considers an interactive search paradigm in which at each round a user is presented with a set of k images and is required to select one that is closest to her target. P...
Dorota Glowacka, John Shawe-Taylor
EWCBR
1998
Springer
14 years 2 months ago
On Bayesian Case Matching
Abstract. Case retrieval is an important problem in several commercially signi cant application areas, such as industrial con guration and manufacturing problems. In this paper we ...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...