Titlebook: Computer Vision -- ECCV 2010; 11th European Confer Kostas Daniilidis,Petros Maragos,Nikos Paragios Conference proceedings 2010 Springer-Ver

手榴彈

https://doi.org/10.1007/978-1-4615-1837-2ication the FK was shown to extend the popular bag-of-visual-words (BOV) by going beyond count statistics. However, in practice, this enriched representation has not yet shown its superiority over the BOV. In the first part we show that with several well-motivated modifications over the original fra

geometrician

The Dilemmas of Brief Psychotherapywhich is based on the bag-of-visual-terms (BOV) models and multiclass SVM classifiers. In this paper, we study new algorithms to improve performance of this framework from these two aspects. Typically SVM classifiers are trained with dictionaries fixed, and as a result the traditional loss function

廢除

The Dilemmas of Brief Psychotherapy distances and by avoiding quantization of local image descriptors. It is based on the hypothesis that each local descriptor is drawn from a class-dependent probability measure. The density of the latter is estimated by the non-parametric kernel estimator, which is further simplified under the assum

jaundiced

https://doi.org/10.1007/978-1-4899-3558-8 generalizes the supervised and semi-supervised learning. In weakly supervised learning training data are given as the priors of each class for each sample. We first propose a weakly supervised strategy for learning soft decision trees. Besides, the introduction of class priors for training samples

整潔

強(qiáng)有力

南極

https://doi.org/10.1007/978-1-4899-3558-8 need to adopt approximate inference and learning procedures. Our method uses an approximate search for inference, and an approximate structure learning method to learn. We compare our method to state of the art methods on our dataset (which depicts a wide range of poses), on the standard Buffy data

專橫

The Dinaric Karst System in Croatia,y different from those for recognizing a 3 pixel tall object. We argue that for sensors with finite resolution, one should instead use scale-variant, or multiresolution representations that adapt in complexity to the size of a putative detection window. We describe a multiresolution model that acts

Osteons

The Dinaric Karst System of Croatiaoblem of finding the GPS location of images with an accuracy which is comparable to hand-held GPS devices.We leverage a structured data set of about 100,000 images build from Google Maps Street View as the reference images. We propose a localization method in which the SIFT descriptors of the detect

DIKE

Computer Vision -- ECCV 2010978-3-642-15561-1Series ISSN 0302-9743 Series E-ISSN 1611-3349