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CVPR
2012
IEEE
7 years 24 days ago
Estimating the aspect layout of object categories
In this work we seek to move away from the traditional paradigm for 2D object recognition whereby objects are identified in the image as 2D bounding boxes. We focus instead on: i...
Yu Xiang, Silvio Savarese
JMLR
2012
7 years 24 days ago
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
HISB
2011
99views more  HISB 2011»
7 years 10 months ago
Quantitative Modeling the Saccharomyces cerevisiae FLR1 Regulatory Network Using an S-System Formalism
—We address the problem of finding a mathematical model for the genetic network regulating the stress response of the yeast Saccharomyces cerevisiae to the fungicide mancozeb. A...
Dulce Calçada, Susana Vinga, Ana T. Freitas...
EMNLP
2011
7 years 10 months ago
Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation
Previous work has shown that high quality phrasal paraphrases can be extracted from bilingual parallel corpora. However, it is not clear whether bitexts are an appropriate resourc...
Juri Ganitkevitch, Chris Callison-Burch, Courtney ...
CEC
2010
IEEE
8 years 5 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
8 years 5 months ago
Distributed parameter estimation in networks
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
Kamiar Rahnama Rad, Alireza Tahbaz-Salehi
ICDAR
2009
IEEE
8 years 8 months ago
Bayesian Similarity Model Estimation for Approximate Recognized Text Search
Approximate text search is a basic technique to handle recognized text that contains recognition errors. This paper proposes an approximate string search for recognized text using...
Atsuhiro Takasu
EMNLP
2010
8 years 8 months ago
Discriminative Word Alignment with a Function Word Reordering Model
We address the modeling, parameter estimation and search challenges that arise from the
Hendra Setiawan, Christopher Dyer, Philip Resnik
TMI
1998
145views more  TMI 1998»
8 years 10 months ago
Maximum Likelihood Estimation of Rician Distribution Parameters
— The problem of parameter estimation from Rician distributed data (e.g., magnitude Magnetic Resonance images) is addressed. The properties of conventional estimation methods are...
Jan Sijbers, Arnold Jan den Dekker, Paul Scheunder...
CSL
1998
Springer
8 years 10 months ago
Model parameter estimation for mixture density polynomial segment models
In this paper, we propose parameter estimation techniques for mixture density polynomial segment models (MDPSMs) where their trajectories are specified with an arbitrary regressi...
Toshiaki Fukada, Kuldip K. Paliwal, Yoshinori Sagi...
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