Results 11 - 20 of 4,286

Hierarchical phrase-based translation

by David Chiang - Computational Linguistics , 2007
"... We present a statistical machine translation model that uses hierarchical phrases—phrases that contain subphrases. The model is formally a synchronous context-free grammar but is learned from a parallel text without any syntactic annotations. Thus it can be seen as combining fundamental ideas from b ..."
Abstract - Cited by 597 (9 self) - Add to MetaCart
the Alignment Template System, a state-of-the-art phrasebased system. 1.

Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers

by André F. T. Martins, Noah A. Smith, et al. , 2013
"... We present fast, accurate, direct non-projective dependency parsers with third-order features. Our approach uses AD3, an accelerated dual decomposition algorithm which we extend to handle specialized head automata and sequential head bigram models. Experiments in fourteen languages yield parsing spe ..."
Abstract - Cited by 23 (5 self) - Add to MetaCart
speeds competitive to projective parsers, with state-of-the-art accuracies for the largest datasets (English, Czech, and German)

Computer Vision for Head Pose Estimation: Review of a Competition

by Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-musawi, Lei Xu, Hendrik Jacob Van Veen
"... Abstract. This paper studies the prediction of head pose from still images, and summarizes the outcome of a recently organized competition, where the task was to predict the yaw and pitch angles of an image dataset with 2790 samples with known angles. The competition received 292 entries from 52 par ..."
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participants, the best ones clearly exceeding the state-of-the-art accuracy. In this paper, we present the key methodologies behind selected top methods, summarize their prediction accuracy and compare with the current state of the art.

A comparison and evaluation of multi-view stereo reconstruction algorithms.

by Steven M Seitz , Brian Curless , James Diebel , Daniel Scharstein , Richard Szeliski - In Proc. Computer Vision and Pattern Recognition ’06, , 2006
"... Abstract This paper presents a quantitative comparison of several multi-view stereo reconstruction algorithms. Until now, the lack of suitable calibrated multi-view image datasets with known ground truth (3D shape models) has prevented such direct comparisons. In this paper, we first survey multi-v ..."
Abstract - Cited by 530 (14 self) - Add to MetaCart
quantitative comparison of state-of-the-art multi-view stereo reconstruction algorithms on six benchmark datasets. The datasets, evaluation details, and instructions for submitting new models are available online at http://vision.middlebury.edu/mview.

A Simple and scalable response prediction for display advertising

by Olivier Chapelle, Eren Manavoglu Microsoft, Romer Rosales Linkedin
"... Clickthrough and conversation rates estimation are two core predictions tasks in display advertising. We present in this paper a machine learning framework based on logistic regression that is specifically designed to tackle the specifics of display advertising. The resulting system has the followin ..."
Abstract - Cited by 9 (4 self) - Add to MetaCart
the following characteristics: it is easy to implement and deploy; it is highly scalable (we have trained it on terabytes of data); and it provides models with state-of-the-art accuracy.

Linear-Time Dependency Analysis for Japanese

by Manabu Sassano
"... We present a novel algorithm for Japanese dependency analysis. The algorithm allows us to analyze dependency structures of a sentence in linear-time while keeping a state-of-the-art accuracy. In this paper, we show a formal description of the algorithm and discuss it theoretically with respect to ti ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
We present a novel algorithm for Japanese dependency analysis. The algorithm allows us to analyze dependency structures of a sentence in linear-time while keeping a state-of-the-art accuracy. In this paper, we show a formal description of the algorithm and discuss it theoretically with respect

Discriminant Pattern Recognition Using Transformation Invariant Neurons

by Diego Sona, Alessandro Sperduti, Antonina Starita - Neural Computation , 2000
"... To overcome the problem of invariant pattern recognition Simard et al. proposed a successful nearest-neighbor approach based on tangent distance, attaining state-of-the-art accuracy. Since this approach needs great computational and memory e#ort, Hastie et al. proposed an algorithm (HSS) based o ..."
Abstract - Cited by 8 (4 self) - Add to MetaCart
To overcome the problem of invariant pattern recognition Simard et al. proposed a successful nearest-neighbor approach based on tangent distance, attaining state-of-the-art accuracy. Since this approach needs great computational and memory e#ort, Hastie et al. proposed an algorithm (HSS) based

Range-Free Localization Schemes for Large Scale Sensor Networks

by Tian He, Chengdu Huang, Brain M. Blum, John A. Stankovic, Tarek Abdelzaher , 2003
"... Wireless Sensor Networks have been proposed for a multitude of location-dependent applications. For such systems, the cost and limitations of hardware on sensing nodes prevent the use of range-based localization schemes that depend on absolute point-to-point distance estimates. Because coarse accura ..."
Abstract - Cited by 525 (8 self) - Add to MetaCart
performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired. We compare our work via extensive simulation, with three state-of-the-art range-free localization schemes to identify the preferable system configurations of each. In addition

Yago: A Core of Semantic Knowledge

by Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum - IN PROC. OF WWW ’07 , 2007
"... We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains roughly 900,000 entities and 5,000,000 facts. This includes the Is-A hierarchy as well as non-taxonomic relations between entities (such as hasWonPrize ..."
Abstract - Cited by 504 (66 self) - Add to MetaCart
, extensible, and compatible with RDFS. Finally, we show how YAGO can be further extended by state-of-the-art information

Learning realistic human actions from movies

by Ivan Laptev, Marcin Marszałek, Cordelia Schmid, Benjamin Rozenfeld - IN: CVPR. , 2008
"... The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in the past due to several problems one of which is the lack of realistic and annotated video datasets. Our first contribut ..."
Abstract - Cited by 738 (48 self) - Add to MetaCart
next turn to the problem of action classification in video. We present a new method for video classification that builds upon and extends several recent ideas including local space-time features, space-time pyramids and multichannel non-linear SVMs. The method is shown to improve state-of-the-art
Results 11 - 20 of 4,286