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COLING
1990
15 years 8 months ago
The Generation Of High-Level Structure For Extended Explanations
2 This paper analyzes the structural features of naturally-occurring extended explanations and argues that current generation methodologies are inadequate for determining high-leve...
David J. Mooney, Sandra Carberry, Kathleen F. McCo...
ICIP
2008
IEEE
16 years 8 months ago
Graph cut segmentation of neuronal structures from transmission electron micrographs
In many neurophysiological studies, understanding the neuronal circuitry of the brain requires detailed 3D models of the nerve cells and their synapses. Typically, researchers bui...
Nhat Vu, B. S. Manjunath
ICASSP
2009
IEEE
16 years 1 months ago
Perceptual quality based packet dropping for generalized video GOP structures
Our work builds a general visibility model of video packets which is applicable to various types of GOP (Group of Pictures). The data used for analysis and building the model come...
Ting-Lan Lin, Yuan Zhi, Sandeep Kanumuri, Pamela C...
EMNLP
2010
15 years 4 months ago
Multi-Level Structured Models for Document-Level Sentiment Classification
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
Ainur Yessenalina, Yisong Yue, Claire Cardie
ICASSP
2011
IEEE
14 years 10 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur