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» Temporal Data Classification Using Linear Classifiers
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CVPR
2008
IEEE
16 years 4 months ago
Semi-supervised boosting using visual similarity learning
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
Christian Leistner, Helmut Grabner, Horst Bischof
144
Voted
CRV
2008
IEEE
142views Robotics» more  CRV 2008»
15 years 4 months ago
Invariant Classification of Gait Types
This paper presents a method of classifying human gait in an invariant manner based on silhouette comparison. A database of artificially generated silhouettes is created represent...
Preben Fihl, Thomas B. Moeslund
122
Voted
ESANN
2006
15 years 4 months ago
Recognition of handwritten digits using sparse codes generated by local feature extraction methods
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
Rebecca Steinert, Martin Rehn, Anders Lansner
117
Voted
LREC
2008
133views Education» more  LREC 2008»
15 years 4 months ago
Automatic Identification of Temporal Information in Tourism Web Pages
This paper presents our work on the detection of temporal information in web pages. The pages examined within the scope of this study were taken from the tourism sector and the te...
Stéphanie Weiser, Philippe Laublet, Jean-Lu...
97
Voted
IEAAIE
2005
Springer
15 years 8 months ago
Methods for Classifying Spot Welding Processes: A Comparative Study of Performance
Resistance spot welding is an important and widely used method for joining metal objects. In this paper, various classification methods for identifying welding processes are evalua...
Eija Haapalainen, Perttu Laurinen, Heli Junno, Lau...