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DAGM
2008
Springer
15 years 6 months ago
Learning Visual Compound Models from Parallel Image-Text Datasets
Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
COLING
2008
15 years 6 months ago
A Local Alignment Kernel in the Context of NLP
This paper discusses local alignment kernels in the context of the relation extraction task. We define a local alignment kernel based on the Smith-Waterman measure as a sequence s...
Sophia Katrenko, Pieter W. Adriaans
126
Voted
NIPS
2007
15 years 6 months ago
Predictive Matrix-Variate t Models
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
Shenghuo Zhu, Kai Yu, Yihong Gong
AAAI
2004
15 years 6 months ago
Repeated Observation Models
Repetition is an important phenomenon in a variety of domains, such as music, computer programs and architectural drawings. A generative model for these domains should account for...
Avi Pfeffer
VMV
2004
179views Visualization» more  VMV 2004»
15 years 6 months ago
High-Resolution Interactive Panoramas with MPEG-4
We present a system for the interactive navigation through high-resolution cylindrical panoramas. The system is based on MPEG-4 and describes the virtual world by the scene descri...
Peter Eisert, Yong Guo, Anke Riechers, Jürgen...