Results 1 - 10 of 593

Table 10: Results on Xerox7

in Image annotation: which approach for realistic databases?
by Nicolas Hervé, et al.

Table 12. Classification accuracy on the Xerox7 database.

in DOI: 10.1007/s11263-006-9794-4 Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
by J. Zhang, M. Marsza̷lek, S. Lazebnik, C. Schmid 2005
"... In PAGE 18: ... Comparison on Xerox7. Table12 shows overall re- sults for multi-class classification on the Xerox7 database. Our method outperforms the Xerox bag-of- keypoints method (Willamowski et al.... ..."

Table 13: Confusion matrix for the Xerox7 dataset.

in Local features and kernels for classification of texture and object categories: a comprehensive study
by J. Zhang, S. Lazebnik, C. Schmid 2007
"... In PAGE 18: ...see table 1). Fig. 6 shows some images correctly classi ed by our method. Table13 shows the confusion ours: (HS+LS) Xerox [61] (SIFT+SPIN) overall rate 94.3 82.... ..."
Cited by 36

Table 1. Statistics of the Xerox corpus English Spanish

in Automatic Filtering of Bilingual Corpora for Statistical Machine Translation
by Shahram Khadivi, Hermann Ney 2005
"... In PAGE 6: ... The language pair for both corpora is Spanish-English. The Xerox corpus ( Table1 ) is a noise free corpus which has been manually aligned, it is composed of technical manuals... ..."
Cited by 1

Table 2. Information of apte, xerox and hp

in Symmetries in rectangular block-packing
by Hayward H. Chan, Igor L. Markov 2003
Cited by 3

Table 3.7: Xerox tag sets

in Czech Language Tagging
by Barbora Hladk' Doctoral, Barbora Hladk A

Table 12: Confusion matrix for the Xerox7 dataset.

in Rapport de recherche n
by Jianguo Zhang, Marcin Marszałek, Svetlana Lazebnik, Cordelia Schmid, Jianguo Zhang, Svetlana Lazebnik, Cordelia Schmid, Projet Lear
"... In PAGE 25: ...able 6) and scale invariance as opposed to a ne invariance (see table 1). Fig. 6 shows some images correctly classi ed by our method. Table12 shows the confusion matrix and the classi cation rates for the individual categories3. The most di cult categories are books, buildings and cars.... ..."

Table 2: The performance of the tagger

in A Text Analyzer for Korean Text-to-Speech Systems
by Sangho Lee, Yung-hwan Oh 1996
"... In PAGE 4: ...To obtain the con- ditional probabilityofPn28k i 1 jt i 1 n29, the corpus of 3,652 word phrases were used. The performance of the tagger is shown in Table2 . Accord- ing to the table, the correctness ratio of the tagger is a little bit lower than that of the ordinary English tagger.... ..."
Cited by 2

Table 3. Evaluated taggers

in Using Morphossyntactic Information in TTS
by Systems Comparing Strategies, Ricardo Ribeiro, Luís Oliveira, Isabel Trancoso
Cited by 1

Table 12: Classi cation accuracy on the Xerox7 database.

in Local features and kernels for classification of texture and object categories: a comprehensive study
by J. Zhang, S. Lazebnik, C. Schmid 2007
"... In PAGE 18: ... Comparison on Xerox7. Table12 shows overall results for multi-class classi cation on the Xerox7 database. Our method outperforms the Xerox bag-of-keypoints method [61] in the same experimental setting.... ..."
Cited by 36
Results 1 - 10 of 593