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...
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...
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...
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...
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...
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...
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...
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...
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 ...
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...