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» Pruning Training Sets for Learning of Object Categories
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ICASSP
2011
IEEE
13 years 28 days ago
Exploiting active-learning strategies for annotating prosodic events with limited labeled data
Many applications of spoken-language systems can benefit from having access to annotations of prosodic events. Unfortunately, obtaining human annotations of these events, even se...
Raul Fernandez, Bhuvana Ramabhadran
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
14 years 2 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang
ICIP
2008
IEEE
14 years 11 months ago
Emotional valence categorization using holistic image features
Can a machine learn to perceive emotions as evoked by an artwork? Here we propose an emotion categorization system, trained by ground truth from psychology studies. The training d...
Victoria Yanulevskaya, Jan van Gemert, Katharina R...
SIGCSE
2010
ACM
181views Education» more  SIGCSE 2010»
14 years 4 months ago
Teaching the principles of the hacker curriculum to undergraduates
The “Hacker Curriculum” exists as a mostly undocumented set of principles and methods for learning about information security. Hacking, in our view, is defined by the ability...
Sergey Bratus, Anna Shubina, Michael E. Locasto
KDD
2010
ACM
222views Data Mining» more  KDD 2010»
13 years 11 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...