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» Constructing informative priors using transfer learning
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ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 4 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
CVPR
2006
IEEE
16 years 6 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
COLING
2010
14 years 11 months ago
Sentiment Translation through Multi-Edge Graphs
Sentiment analysis systems can benefit from the translation of sentiment information. We present a novel, graph-based approach using SimRank, a well-established graph-theoretic al...
Christian Scheible, Florian Laws, Lukas Michelbach...
DMIN
2009
142views Data Mining» more  DMIN 2009»
15 years 2 months ago
A Combinatorial Fusion Method for Feature Construction
- This paper demonstrates how methods borrowed from information fusion can improve the performance of a classifier by constructing (i.e., fusing) new features that are combinations...
Ye Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma
TEI
2012
ACM
257views Hardware» more  TEI 2012»
13 years 11 months ago
Beyond affordance: tangibles' hybrid nature
A prevalent assumption behind interface approaches that employ physical means of interaction is that this leverages users’ prior knowledge from the real world. This paper scruti...
Eva Hornecker