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CVPR
2011
IEEE
12 years 11 months ago
Robust Tracking Using Local Sparse Appearance Model and K-Selection
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
Baiyang Liu, junzhou Huang, Casimir Kulikowski, Li...
ISCA
1998
IEEE
125views Hardware» more  ISCA 1998»
14 years 5 days ago
Performance Characterization of a Quad Pentium Pro SMP using OLTP Workloads
Commercial applications are an important, yet often overlooked, workload with significantly different characteristics from technical workloads. The potential impact of these diffe...
Kimberly Keeton, David A. Patterson, Yong Qiang He...
CSCW
1998
ACM
14 years 4 days ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
14 years 1 days ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
ESEM
2007
ACM
13 years 11 months ago
Using Context Distance Measurement to Analyze Results across Studies
Providing robust decision support for software engineering (SE) requires the collection of data across multiple contexts so that one can begin to elicit the context variables that...
Daniela Cruzes, Victor R. Basili, Forrest Shull, M...