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» Experiments with a New Boosting Algorithm
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ISVC
2007
Springer
15 years 3 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
NIPS
2007
14 years 11 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
ICML
2007
IEEE
15 years 10 months ago
Boosting for transfer learning
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
86
Voted
TITS
2010
220views Education» more  TITS 2010»
14 years 4 months ago
Vehicle Logo Recognition Using a SIFT-Based Enhanced Matching Scheme
Abstract--In this paper, a new algorithm for vehicle logo recognition on the basis of an enhanced scale-invariant feature transform (SIFT)-based feature-matching scheme is proposed...
Apostolos P. Psyllos, Christos-Nikolaos Anagnostop...
TCSV
2008
313views more  TCSV 2008»
14 years 9 months ago
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features
Efficiently and accurately detecting pedestrians plays a very important role in many computer vision applications such as video surveillance and smart cars. In order to find the ri...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...