PAMI
2008
13 years 4 months ago
2008
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
MMS
2008
13 years 4 months ago
2008
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
A system, called NewsStand, is introduced that automatically extracts images from news articles. The system takes RSS feeds of news article and applies an online clustering algori...
MM
2010
ACM
13 years 5 months ago
2010
ACM
We present a novel visual creativity tool that automatically recognizes facial expressions and tracks facial muscle movements in real time to produce sounds. The facial expression...
NC
1998
13 years 6 months ago
1998
We consider Magnetoencephalographic (MEG) data in a signal detection framework. Our data set consists of responses evoked by the voiced syllables /b
ESANN
2008
13 years 6 months ago
2008
We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
ADC
2003
Springer
13 years 8 months ago
2003
Springer
Information available in the Internet is frequently supplied simply as plain ascii text, structured according to orthographic and semantic conventions. Traditional document classi...
IDMS
1997
Springer
13 years 9 months ago
1997
Springer
Abstract. This paper describes WIPETM (Wavelet Image Pornography Elimination), an algorithm capable of classifying an image as objectionable or benign. The algorithm uses a combina...
WSOM
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. The distribution of a class of objects, such as images depicting a specific topic, can be studied by observing the best-matching units (BMUs) of the objects’ feature v...
MM
2003
ACM
13 years 10 months ago
2003
ACM
This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes bot...