object recognition using shape contexts
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Measuring Word Recognition Using a Picture
Ngày tải lên :
06/09/2013, 11:10
...
partial credit should be given. When there are more than one objects for the same
word (e.g., chairs), any line drawn to the corresponding objects will be treated as
correct.
Specifications Supplement
ã ... Consist of 12 to 20 different words.
ã Be scattered around the picture but not too far from the objects.
ã Be scattered randomly, so that the directions of the lines, when drawn by the
students, ... same way, please find all the
words that you know and draw a line to match them with the right object in the picture.
Make sure that the ends of your lines touch the words and the things in...
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Tài liệu What, where and who? Classifying events by scene and object recognition pptx
Ngày tải lên :
19/02/2014, 18:20
... to object
j and object topic i, while n
ki
is the number of patch k as-
signed to object topic i. H is the number of object topics,
which is set to some known, constant value. V
O
is the object
codebook ... generate an object
image. Unlike the scene, there could be more than one
objects in an image. We use K to denote the number of
objects in a given image. There is a total of O classes
of objects for ... and object recognition components, it is nat-
ural for us to use a generative approach. Our object model
is adapted from the bag of words models that have recently
shown much robustness in object...
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Tài liệu Báo cáo khoa học: "A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co-occurrence" pptx
Ngày tải lên :
20/02/2014, 18:20
...
Results of Speech Recognition: We used 4806
recognition results including errors, from the output of
speech recognition (Masataki
et al.,
96; Shimizu
et al.,
96)
experiment using an ATR spoken ... Dialogue Speech Recognition
using Cross-word Context Constrained Word Graphs.
ICASSP 96, pp. 145-148, 1996.
Y. Wakita et al., 97. Correct parts extraction from speech
recognition results using semantic ... improves the understanding of the recognition results
by7%.
(3) It has very little influence on correct recognition results.
(4) It is more applicable for a recognition result with a few
errors...
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Báo cáo khoa học: "Improving On-line Handwritten Recognition using Translation Models in Multimodal Interactive Machine Translation" docx
Ngày tải lên :
07/03/2014, 22:20
... images. Pattern Recognition, 43(5):1814–
1825.
[Vidal et al.2006] E. Vidal, F. Casacuberta, L. Rodr
´
ıguez,
J. Civera, and C. Mart
´
ınez. 2006. Computer-assisted
translation using speech recognition. ... Interna-
tional Conference on Pattern Recognition, pages 29–
33.
[Koehn and Haddow2009] P. Koehn and B. Haddow.
2009. Interactive assistance to human translators using
statistical machine translation ... Gadea, and Enrique Vidal. 2007. On-line handwrit-
ing recognition system for tamil handwritten charac-
ters. In 3rd Iberian Conference on Pattern Recognition
and Image Analysis, pages 370–377. Girona...
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Báo cáo khoa học: "Paraphrase Recognition Using Machine Learning to Combine Similarity Measures" ppt
Ngày tải lên :
08/03/2014, 01:20
... Workshop, pages 27–35,
Suntec, Singapore, 4 August 2009.
c
2009 ACL and AFNLP
Paraphrase Recognition Using Machine Learning to Combine Similarity
Measures
Prodromos Malakasiotis
Department of ... relation
holds; the system locates in a document collec-
tion (or the entire Web) contexts were the seeds
cooccur, and uses the contexts as patterns that can
express the relation; the patterns are then ... similarity in [-1, 1].
31
P. Malakasiotis and I. Androutsopoulos. 2007. Learn-
ing textual entailment using svms and string similar-
ity measures. In Proceedings of the ACL-PASCAL
Workshop on Textual...
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Báo cáo khoa học: "Term Recognition Using Technical Dictionary Hierarchy" docx
Ngày tải lên :
08/03/2014, 05:20
...
closest object is determined by a RNN. For
given object i and object j, we can define that
there is a RNN relationship between i and j
when the closest object of i is object j and the
closest object ... extracting terms using a
dictionary hierarchy. Our method produces
relatively good results for this task.
Introduction
In recent years, statistical approaches on ATR
(Automatic Term Recognition) ... hardship on
constructing an electronic dictionary was major
obstacles for using an electronic technical
dictionary in term recognition, the increasing
development of tools for building electronic...
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Báo cáo khoa học: " Named Entity Recognition using an HMM-based Chunk Tagger" pptx
Ngày tải lên :
17/03/2014, 08:20
... system still has some room for
performance improvement. This may be because of
Named Entity Recognition using an HMM-based Chunk Tagger
GuoDong Zhou Jian Su
Laboratories for Information Technology ... shared tasks, as shown in Table 6,
and then for the impact of training data size on
performance using MUC-7 training data. For each
experiment, we have the MUC dry-run data as the
held-out development ... held-out test data.
For both MUC-6 and MUC-7 NE tasks, Table 7
shows the performance of our system using MUC
evaluation while Figure 1 gives the comparisons of
our system with others. Here, the...
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Báo cáo khoa học: "Measuring Contextual Fitness Using Error Contexts Extracted from the Wikipedia Revision History" pptx
Ngày tải lên :
17/03/2014, 22:20
... method (using the
full Wikipedia trigram model) and the knowledge-
based method (using the ESA-Wiktionary related-
ness measure) in parallel and then combined the
resulting detections using two ... convicts were often
chained up in rotting old ships.” the obvious error
5
Using a revision dump from April 5, 2011.
6
Using a revision dump from August 13, 2010.
7
The most efficient and precise ... measure
(‘Best-Single’), we observe that precision can be
significantly improved using the ‘Union’ strategy,
while recall is only moderately improved using
the ‘Intersect’ strategy. This means that (i) a large
subset...
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Event Modeling and Recognition using Markov Logic Networks ? ppt
Ngày tải lên :
23/03/2014, 13:20
... learned using a MAP estimation technique. In [9], Pentney
et al recognized human activities based on objects used. The objects were RFID
tagged and identified using RFID readers worn by the users (object- use ... for
visual event recognition in a number of works. In [4], Rota et al presented an ele-
gant treatment for representing activities using declarative models. Recognition
was performed effectively using a ... p(E = true).
Event Modeling and Recognition using Markov Logic Networks 3
knowledge. A continuous bi-lattice was used in [6] for human detection. Here,
instead of using a multi-valued logic, we...
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Báo cáo khoa học: "Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia" potx
Ngày tải lên :
23/03/2014, 14:20
... look at performance using four sets of fea-
tures: (i) Monolingual Wiki-tagger based, using
only the features in Group 1 (MONO); (ii) Bilingual
label match and Wiki-tagger based, using features
in ... than the other.
The other is that the same information might be ex-
pressed using a named entity in one language, and
using a non-entity phrase in the other language (e.g.
“He is from Bulgaria” ... factored estimation: using English
to parse Korean. In EMNLP.
Jason R. Smith, Chris Quirk, and Kristina Toutanova.
2010. Extracting parallel sentences from compara-
ble corpora using document level...
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Báo cáo khoa học: "Arabic Named Entity Recognition: Using Features Extracted from Noisy Data" doc
Ngày tải lên :
23/03/2014, 16:20
... Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
Arabic Named Entity Recognition:
Using Features Extracted from Noisy Data
Yassine Benajiba
1
Imed Zitouni
2
Mona Diab
1
Paolo ... accurate Named Entity
Recognition (NER) system for languages
with complex morphology is a challeng-
ing task. In this paper, we present research
that explores the feature space using both
gold and ... extracted using
highly accurate automatic Arabic POS-taggers.
BASE employs a multi-classifier approach where
each classifier is tagging a NE class separately.
The feature selection is performed by using...
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Road traffic control gesture recognition using Microsoft Kinect
Ngày tải lên :
12/04/2014, 15:40
... significant recognition advantage other than depth and color
information. Therefore, instead of directly doing human parts recognition using depth
and color images, we do skeleton recognition ... Table 3.
10
2. Related work
2.1Human body parts recognition using Microsoft Kinect
The approach of using RGB images or video for human detection and recognition
faces challenging problems due to ... gesture recognition.
26
[6] Fan Guo, Zixing Cai, Jin Tang, “Chinese Traffic Police Gesture Recognition in
Complex Scene”, TrustCom, 2011
[7] J. Charles and M. Everingham, “Learning shape models...
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hand gesture recognition using input-output hidden markov models
Ngày tải lên :
24/04/2014, 12:54
... recognition using time–delay neural netwoks.
IEEE transactions on Acoustics, Speech and Signal Pro–
cessing, 37:328–339, 1989.
[12] T. Watanabe and M. Yachida. Real–time gesture recognition
using ... back–propagationalgorithm for tem–
poral pattern recognition. Complex Systems, 3:349–381,
1989.
[8] K. Murakami and H. Taguchi. Gesture recognition using
recurrent neural networks. In Conference ... 1986.
[10] A. Starner and T. Pentland. Visual recognition of American
Sign Language using Hidden Markov Models. In Int. Conf.
on Automatic Face and GestureRecognition, page 189–194,
1995.
[11] A....
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