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» Semi-supervised Learning from General Unlabeled Data
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SIGCSE
2004
ACM
101views Education» more  SIGCSE 2004»
13 years 11 months ago
Effective features of algorithm visualizations
Many algorithm visualizations have been created, but little is known about which features are most important to their success. We believe that pedagogically useful visualizations ...
Purvi Saraiya, Clifford A. Shaffer, D. Scott McCri...
MM
2003
ACM
118views Multimedia» more  MM 2003»
13 years 11 months ago
PROMISE: peer-to-peer media streaming using CollectCast
We present the design, implementation, and evaluation of PROMISE, a novel peer-to-peer media streaming system encompassing the key functions of peer lookup, peer-based aggregated ...
Mohamed Hefeeda, Ahsan Habib, Boyan Botev, Dongyan...
SIGUCCS
2003
ACM
13 years 11 months ago
Achieving rapid service deployment in an academic environment
Rapid product or service deployment is most commonly thought of in the corporate, rather than academic, environment. Utilizing a rapid deployment process and a number of highly de...
Shea Nangle
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
13 years 11 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
CIKM
2009
Springer
13 years 11 months ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An