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158
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TIP
2011
255views more  TIP 2011»
14 years 10 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard
IPPS
2002
IEEE
15 years 8 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
132
Voted
TOIS
2010
128views more  TOIS 2010»
15 years 1 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
148
Voted
SIGECOM
2003
ACM
174views ECommerce» more  SIGECOM 2003»
15 years 8 months ago
Collaboration software to reduce inventory and increase response
Some recent trends in business and manufacturing hold the promise of greater profits, yet, due to profit-robbing inventory increases, this promise has not been fully realized. [9]...
Indu Bingham, Barbara Hoefle, Kim Phan, Jim Sizemo...
168
Voted
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 3 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle