This paper presents the word sense disambiguation system of Peking University which was designed for the SemEval-2007 competition. The system participated in the Web track of task 11 “English Lexical Sample Task via English-Chinese Parallel Text”. The system is a hybrid model by combining two supervised learning algorithms SVM and ME. And the method of entropy-based feature chosen was experimen...

We present an approach for cover version identification which is based on combining different discretized features derived from the chromagram vectors extracted from the audio data. For measuring similarity between features, we use a parameter-free quasi-universal similarity metric which utilizes data compression. Evaluation proves that combined feature distances increase the accuracy in cover ...

Scene recognition is a basic task towards image understanding. Spatial Pyramid Matching (SPM) has been shown to be an efficient solution for spatial context modeling. In this paper, we introduce an alternative approach, Orientational Pyramid Matching (OPM), for orientational context modeling. Our approach is motivated by the observation that the 3D orientations of objects are a crucial factor t...

1 Overview Shot based indexing techniques have been widely used to organize video data. Scene change detection is the most commonly used method to segment image sequences into coherent units for video indexing. A shot is a sequence of contiguous frames that are recorded from a camera. There is usually one continuous action within a shot, with no major change of scene content. However, there are...

In audio based music similarity, a well known effect is the existence of hubs, i.e. songs which appear similar to many other songs without showing any meaningful perceptual similarity. We verify that this effect also exists in very large databases (> 250000 songs) and that it even gets worse with growing size of databases. By combining different aspects of audio similarity we are able to reduce...

Z.P. Sun & J.S. Mason Department of Electrical & Electronic Engineering, University College of Wales, SWANSEA, SA2 8PP, UK email: [email protected], [email protected] ABSTRACT This paper1 discusses cepstral feature combinations via linear discriminant analysis (LDA) in the context of automatic speaker identi cation (ASI). Two static cepstral features are considered, namely standard MFC...

In this paper, we investigates symbol representation introducing a new hybrid approach. Using a combination of statistical and structural descriptors, we overcome deficiencies of each method taken alone. Indeed, a Region Adjacency Graph of loops is associated with a graph of vectorial primitives. Thus, a loop is both representend in terms of its boundaries and its content. Some preliminary resu...