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CVPR
2006
IEEE
14 years 11 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
EMNLP
2008
13 years 10 months ago
Refining Generative Language Models using Discriminative Learning
We propose a new approach to language modeling which utilizes discriminative learning methods. Our approach is an iterative one: starting with an initial language model, in each i...
Ben Sandbank
PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
14 years 3 months ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
TOG
2008
102views more  TOG 2008»
13 years 9 months ago
Real-time data driven deformation using kernel canonical correlation analysis
Achieving intuitive control of animated surface deformation while observing a specific style is an important but challenging task in computer graphics. Solutions to this task can ...
Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu
JLP
2008
134views more  JLP 2008»
13 years 9 months ago
Backwards type analysis of asynchronous method calls
Asynchronous method calls have been proposed to better integrate object orientation with distribution. In the Creol language, asynchronous method calls are combined with so-called...
Einar Broch Johnsen, Ingrid Chieh Yu