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GLOBECOM
2006
IEEE
14 years 4 months ago
Cluster-Based MIMO Channel Model Parameters Extracted from Indoor Time-Variant Measurements
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention....
Nicolai Czink, Ernst Bonek, Lassi Hentila, Jukka-P...
NIPS
2004
13 years 11 months ago
Semi-supervised Learning with Penalized Probabilistic Clustering
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
Zhengdong Lu, Todd K. Leen
CVPR
2010
IEEE
14 years 3 months ago
YouTubeCat: Learning to Categorize Wild Web Videos
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, ...
CIARP
2006
Springer
14 years 2 months ago
Oscillating Feature Subset Search Algorithm for Text Categorization
Abstract. A major characteristic of text document categorization problems is the extremely high dimensionality of text data. In this paper we explore the usability of the Oscillati...
Jana Novovicová, Petr Somol, Pavel Pudil
ENGL
2007
71views more  ENGL 2007»
13 years 10 months ago
Inductive Classifying Artificial Network for Fly Ash Type Categorization
Nowadays, fly ash is a common ingredient of concrete and may constitute up to 50% by weight of the total binder material. Incorporation of fly ash in Portland-cement concrete is hi...
M. C. Nataraja, M. A. Jayaram, C. N. Ravikumar