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IJPRAI
2002
97views more  IJPRAI 2002»
13 years 8 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
DKE
2006
138views more  DKE 2006»
13 years 8 months ago
Using the uni-level description (ULD) to support data-model interoperability
We describe a framework called the Uni-Level Description (ULD) for accurately representing information from a broad range of data models. The ULD extends previous metadata-model a...
Shawn Bowers, Lois M. L. Delcambre
ICIP
2001
IEEE
14 years 10 months ago
Shape description of three-dimensional images based on medial axis
3D-shape description requires the partition of objects in different parts. In this paper, we propose a new approach based on the analysis of a 3D skeleton. The skeleton is a repre...
Alexandra Bonnassie, Françoise Peyrin, Domi...
SIGIR
2006
ACM
14 years 2 months ago
Type less, find more: fast autocompletion search with a succinct index
We consider the following full-text search autocompletion feature. Imagine a user of a search engine typing a query. Then with every letter being typed, we would like an instant d...
Holger Bast, Ingmar Weber
IALP
2010
13 years 3 months ago
Sentence Similarity-Based Source Context Modelling in PBSMT
Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
Rejwanul Haque, Sudip Kumar Naskar, Andy Way, Mart...