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ML
2002
ACM
220views Machine Learning» more  ML 2002»
13 years 8 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
MVA
2010
193views Computer Vision» more  MVA 2010»
13 years 3 months ago
A novel framework for 3D reconstruction and analysis of ancient inscriptions
Studying ancient inscriptions is based up to date mostly on observation and manual analysis by means of which epigraphists attempt to establish a geographical and chronological cla...
Angelos Barmpoutis, Eleni Bozia, Robert S. Wagman
MMM
2007
Springer
135views Multimedia» more  MMM 2007»
14 years 3 months ago
Ontology-Based Annotation of Paintings Using Transductive Inference Framework
Domain-specific knowledge of paintings defines a wide range of concepts for annotation and flexible retrieval of paintings. In this work, we employ the ontology of artistic concept...
Yelizaveta Marchenko, Tat-Seng Chua, Ramesh Jain
FLAIRS
2004
13 years 10 months ago
Knowledge Engineering of Creative Musical Expressions Using Carnatic Music Ideology
The purpose of this paper is to propose a method to analyze creative music expressions of a performer in South Indian Classical Music (Carnatic Music). The method performs a quali...
S. Ganesh Ram, C. T. Palaniappan, M. S. Ramakrishn...
PVLDB
2008
82views more  PVLDB 2008»
13 years 8 months ago
TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering
Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-worl...
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hector Gonzal...