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ECCV
2004
Springer
14 years 10 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
ICTAI
2007
IEEE
14 years 3 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas
ICML
2007
IEEE
14 years 9 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li
QUATIC
2007
IEEE
14 years 3 months ago
Towards Paradigm-Independent Software Assessment
The milestones of the history of software development are paradigm shifts. Each paradigm brought its own features and new ways of composing them to assemble software systems. Unde...
Sergio Bryton, Fernando Brito e Abreu
SEMCO
2007
IEEE
14 years 3 months ago
Cross-Genre Feature Comparisons for Spoken Sentence Segmentation
Automatic sentence segmentation of spoken language is an important precursor to downstream natural language processing. Previous studies combine lexical and prosodic features, but...
Sébastien Cuendet, Dilek Z. Hakkani-Tü...