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JIIS
2002
114views more  JIIS 2002»
13 years 10 months ago
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
Ata Kabán, Mark Girolami
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
13 years 8 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
IEICET
2010
123views more  IEICET 2010»
13 years 8 months ago
TOA UWB Positioning with Two Receivers Using Known Indoor Features
Ultra-Wideband is an attractive technology for short range positioning, especially indoors. However, for normal Time of Arrival (ToA) positioning, at least three receivers with unb...
Jan Kietlinski-Zaleski, Takaya Yamazato, Masaaki K...
CVPR
2011
IEEE
13 years 7 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
COLING
2010
13 years 5 months ago
Enhancing Multi-lingual Information Extraction via Cross-Media Inference and Fusion
We describe a new information fusion approach to integrate facts extracted from cross-media objects (videos and texts) into a coherent common representation including multi-level ...
Adam Lee, Marissa Passantino, Heng Ji, Guojun Qi, ...