ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
We study efficient algorithms for soft-input soft-output (SISO) encoding of convolutional codes. While the BCJR algorithm has been suggested for SISO encoding, we show that a for...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
The development of mobile platform has raised an emergent requirement for face-related multimedia applications. However, as the basis of such applications, face detection and trac...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
Feedback of channel state information (CSI) is necessary to achieve high throughput and low outage probability in multiuser multiantenna systems. There are two types of CSI: direc...
ICASSP
2011
IEEE
2011
IEEE
Robust sound field reproduction integrating multi-point sound field control and wave field synthesis
13 years 9 days ago
For a reproduced sound field, the competing goals between the listening area and reproduction accuracy in an actual environment is one of the most important problems in sound fi...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
We describe a new approach for phoneme recognition which aims at minimizing the phoneme error rate. Building on structured prediction techniques, we formulate the phoneme recogniz...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
In this paper we advocate a new technique for the fast identi cation of physical objects based on their physical unclonable features (surface microstructures). The proposed identi...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
Although many Karaoke systems come with a scoring feature that provides singers with a simple performance rating, the automated scoring, however, is either random or incomparable ...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...