ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper presents a new probabilistic model for the task of image annotation. Our model, which we call sLDA-bin, extends supervised Latent Dirichlet Allocation (sLDA) model to h...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Traditional cooperative communications can improve communication reliability. However, the simultaneous transmissions from multiple relays are challenging in practice due to the i...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Many of the existing machine-learning approaches to speech summarization cast important sentence selection as a two-class classification problem and have shown empirical success f...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper a novel approach for semi-supervised hyperspectral unmixing is presented. First, it is shown that this problem inherently accepts a sparse solution. Then, based on t...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper, we propose a novel double-talk detection (DTD) technique based on a soft decision in the frequency domain. The proposed method provides an efficient procedure to d...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
A dense antenna array architecture is developed to ease the circuit requirements of the radio frequency (RF) front-end in beamforming applications. In the architecture, antennas a...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract—Channel shortening filters have been used in acoustics to reduce reverberation, in error control decoding to reduce complexity, and in communication systems to reduce i...