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ICCV
2011
IEEE
12 years 7 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
VISSYM
2003
13 years 9 months ago
Feature Flow Fields
Feature tracking algorithms for instationary vector fields are usually based on a correspondence analysis of the features at different time steps. This paper introduces a method ...
Holger Theisel, Hans-Peter Seidel
HICSS
2008
IEEE
105views Biometrics» more  HICSS 2008»
14 years 2 months ago
Using Visual Features for Fine-Grained Genre Classification of Web Pages
The field of automatic genre classification has primarily focused on extracting textual features from documents. The goal of this research is to investigate whether visual feature...
Ryan Levering, Michal Cutler, Lei Yu
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
14 years 28 days ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
SIBGRAPI
2003
IEEE
14 years 24 days ago
Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval
This paper presents a novel visual approach to evaluate, in a fast and effective way, the development of new image feature extraction techniques concerning content-based image ret...
José Fernando Rodrigues Jr., César A...