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KDD
2005
ACM
166views Data Mining» more  KDD 2005»
15 years 10 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
CHI
2004
ACM
15 years 10 months ago
Transcendent communication: location-based guidance for large-scale public spaces
Many studies have been conducted on supporting communication in home and office spaces, but relatively few studies have explored supporting communication in large-scale public spa...
Hideyuki Nakanishi, Satoshi Koizumi, Toru Ishida, ...
CVPR
2010
IEEE
15 years 6 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
ESWS
2009
Springer
15 years 4 months ago
Towards Linguistically Grounded Ontologies
Abstract. In this paper we argue why it is necessary to associate linguistic information with ontologies and why more expressive models, beyond RDFS, OWL and SKOS, are needed to ca...
Paul Buitelaar, Philipp Cimiano, Peter Haase, Mich...
ICASSP
2008
IEEE
15 years 4 months ago
Fast speaker adaptation using non-negative matrix factorization
This paper describes a new method for fast speaker adaptation in large vocabulary recognition systems. As in most HMM-based recognizers, the observation densities are modeled as a...
Jacques Duchateau, Tobias Leroy, Kris Demuynck, Hu...