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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
ICMI
2009
Springer
147views Biometrics» more  ICMI 2009»
15 years 4 months ago
Multimodal end-of-turn prediction in multi-party meetings
One of many skills required to engage properly in a conversation is to know the appropiate use of the rules of engagement. In order to engage properly in a conversation, a virtual...
Iwan de Kok, Dirk Heylen
111
Voted
CVPR
2010
IEEE
15 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, ...
COLING
2010
14 years 4 months ago
Chinese Frame Identification using T-CRF Model
As one of the important tasks of SemEval Evaluation, Frame Semantic Structure Extraction based on the FrameNet has received much more attention in NLP field. This task is often di...
Ru Li, Haijing Liu, Shuanghong Li
OPODIS
2004
14 years 11 months ago
Directional Versus Omnidirectional Antennas for Energy Consumption and k-Connectivity of Networks of Sensors
A network is k-connected if it remains connected after the removal of any k - 1 of its nodes. Assume that n sensors, modeled here as (omni)directional antennas, are dropped random...
Evangelos Kranakis, Danny Krizanc, Eric Williams