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» Detecting Topic Drift with Compound Topic Models
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Book
600views
15 years 6 months ago
Computer Vision: Algorithms and Applications
A DRAFT computer vision book by Prof. Richard Szeliski. The book reflects the author's wide experience in practical computer vision algorithms that he has developed while work...
Richard Szeliski
ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
14 years 2 months ago
Finding the optimal strategies for robotic patrolling with adversaries in topologically-represented environments
Abstract— Using autonomous mobile robots to patrol environments for detecting intruders is a topic of increasing relevance for its possible applications. A large part of strategi...
Francesco Amigoni, Nicola Basilico, Nicola Gatti
ICC
2007
IEEE
104views Communications» more  ICC 2007»
14 years 1 months ago
Secure Tracking in Sensor Networks
Abstract— Target tracking is a canonical issue in sensor networks research. However, tracking security has gained little or no attention. Once a sensor node is compromised, it wi...
Chih-Chieh Geoff Chang, Wesley E. Snyder, Cliff Wa...
ICMCS
2009
IEEE
153views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Advertising based on users' photos
In this paper, we tackle the problem of learning a user's interest from his photo collections and suggesting relevant ads. We address two key challenges in this work: 1) unde...
Xin-Jing Wang, Mo Yu, Lei Zhang 0001, Wei-Ying Ma
COLING
2010
13 years 2 months ago
Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues
Given a movie comment, does it contain a spoiler? A spoiler is a comment that, when disclosed, would ruin a surprise or reveal an important plot detail. We study automatic methods...
Sheng Guo, Naren Ramakrishnan