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» COD: Online Temporal Clustering for Outbreak Detection
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AAAI
2007
13 years 6 months ago
COD: Online Temporal Clustering for Outbreak Detection
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
Tomás Singliar, Denver Dash
ECIR
2006
Springer
13 years 5 months ago
Clustering-Based Searching and Navigation in an Online News Source
The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm f...
Simón C. Smith, M. Andrea Rodríguez
ICIP
2007
IEEE
14 years 6 months ago
Fast Detection of Independent Motion in Crowds Guided by Supervised Learning
Different from appearance-based methods, clustering feature points only by their motion coherence is an emerging category of approach to detecting and tracking individuals among c...
Yuan Li, Haizhou Ai
VLDB
2007
ACM
141views Database» more  VLDB 2007»
13 years 10 months ago
UQLIPS: A Real-time Near-duplicate Video Clip Detection System
Near-duplicate video clip (NDVC) detection is an important problem with a wide range of applications such as TV broadcast monitoring, video copyright enforcement, content-based vi...
Heng Tao Shen, Xiaofang Zhou, Zi Huang, Jie Shao, ...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 4 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan