MARC details
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02215nam a2200397Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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MX-MdCICY |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250625160145.0 |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
CICY |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
B-16142 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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250602s9999 xx |||||s2 |||| ||und|d |
| 245 10 - TITLE STATEMENT |
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| Title |
Object detection with discriminatively trained part-based models |
| 490 0# - SERIES STATEMENT |
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| Volume/sequential designation |
IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9), p.1627-1645, 2010 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-of-the-art results in the PASCAL object detection challenges. While deformable part models have become quite popular, their value had not been demonstrated on difficult benchmarks such as the PASCAL data sets. Our system relies on new methods for discriminative training with partially labeled data. We combine a margin-sensitive approach for data-mining hard negative examples with a formalism we call latent SVM. A latent SVM is a reformulation of MI-SVM in terms of latent variables. A latent SVM is semiconvex, and the training problem becomes convex once latent information is specified for the positive examples. This leads to an iterative training algorithm that alternates between fixing latent values for positive examples and optimizing the latent SVM objective function. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
DATA SETS |
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DEFORMABLE MODELS |
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DISCRIMINATIVE TRAINING |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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LABELED DATA |
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LATENT INFORMATION |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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LATENT VALUE |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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LATENT VARIABLE |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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MULTISCALES |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
NEGATIVE EXAMPLES |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
OBJECT CLASS |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
OBJECT DETECTION |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
OBJECT DETECTION SYSTEMS |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
OBJECTIVE FUNCTIONS |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
PICTORIAL STRUCTURES |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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POSITIVE EXAMPLES |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
POSITIVE EXAMPLES |
| 700 12 - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Felzenszwalb, P.F. |
| 700 12 - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Girshick, R.B. |
| 700 12 - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Mcallester, D. |
| 700 12 - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Ramanan, D. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/1ToXQgJa4IsOSudxz-w0FAsUW0sZHb6HC/view?usp=drivesdk">https://drive.google.com/file/d/1ToXQgJa4IsOSudxz-w0FAsUW0sZHb6HC/view?usp=drivesdk</a> |
| Public note |
Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Clasificación local |
| Koha item type |
Documentos solicitados |
