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ICTAI
2007
IEEE
14 years 2 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
SPIRE
2005
Springer
14 years 1 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
MM
2004
ACM
173views Multimedia» more  MM 2004»
14 years 1 months ago
Cortina: a system for large-scale, content-based web image retrieval
Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest reposit...
Till Quack, Ullrich Mönich, Lars Thiele, B. S...
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 9 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
ACL
2006
13 years 9 months ago
Extractive Summarization using Inter- and Intra- Event Relevance
Event-based summarization attempts to select and organize the sentences in a summary with respect to the events or the sub-events that the sentences describe. Each event has its o...
Wenjie Li, Mingli Wu, Qin Lu, Wei Xu, Chunfa Yuan