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» Learning Classifiers from Semantically Heterogeneous Data
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ICML
2003
IEEE
16 years 3 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
ICMCS
2006
IEEE
191views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Semantic Multimedia Retrieval using Lexical Query Expansion and Model-Based Reranking
We present methods for improving text search retrieval of visual multimedia content by applying a set of visual models of semantic concepts from a lexicon of concepts deemed relev...
Alexander Haubold, Apostol Natsev, Milind R. Napha...
ICMCS
2009
IEEE
275views Multimedia» more  ICMCS 2009»
15 years 20 days ago
Video semantic concept detection via associative classification
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC alg...
Lin Lin, Mei-Ling Shyu, Guy Ravitz, Shu-Ching Chen
LREC
2010
157views Education» more  LREC 2010»
15 years 4 months ago
Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning
Existing approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach ...
Aleksander Wawer
ECCV
2006
Springer
16 years 4 months ago
Learning Compositional Categorization Models
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
Björn Ommer, Joachim M. Buhmann