Data processing: artificial intelligence – Fuzzy logic hardware
Reexamination Certificate
2007-10-08
2009-10-13
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Fuzzy logic hardware
Reexamination Certificate
active
07603323
ABSTRACT:
A data structure, method, storage medium and logic arrangement are provided for use in collecting and analyzing multilinear data describing various characteristics of different objects. In particular it is possible to recognize an unknown individual, an unknown object, an unknown action being performed by an individual, an unknown expression being formed by an individual, as well as synthesize a known action never before recorded as being performed by an individual, synthesize an expression never before recorded as being formed by an individual, and reduce the amount of stored data describing an object or action by using dimensionality reduction techniques, and the like.
REFERENCES:
patent: 5170455 (1992-12-01), Goossen et al.
patent: 5301350 (1994-04-01), Rogan et al.
patent: 5321816 (1994-06-01), Rogan et al.
patent: 5347653 (1994-09-01), Fylnn et al.
patent: 5428731 (1995-06-01), Powers, III
patent: 5493682 (1996-02-01), Tyra et al.
patent: 5560003 (1996-09-01), Nilsen et al.
patent: 5692185 (1997-11-01), Nilsen et al.
patent: 5717919 (1998-02-01), Kodavalla et al.
patent: 5740425 (1998-04-01), Povilus
patent: 5784294 (1998-07-01), Platt et al.
patent: 5794256 (1998-08-01), Bennett et al.
patent: 5799312 (1998-08-01), Rigoutsos
patent: 5802525 (1998-09-01), Rigoutsos
patent: 5845285 (1998-12-01), Klein
patent: 5852740 (1998-12-01), Estes
patent: 5870749 (1999-02-01), Adusumilli
patent: 5884056 (1999-03-01), Steele
patent: 5890152 (1999-03-01), Rapaport et al.
patent: 5913186 (1999-06-01), Byrnes et al.
patent: 5931779 (1999-08-01), Arakaki et al.
patent: 5974416 (1999-10-01), Anand et al.
patent: 5974418 (1999-10-01), Blinn et al.
patent: 5995999 (1999-11-01), Bharadhwaj
patent: 6003038 (1999-12-01), Chen
patent: 6029169 (2000-02-01), Jenkins
patent: 6105041 (2000-08-01), Bennett et al.
patent: 6208992 (2001-03-01), Bruckner
patent: 6219444 (2001-04-01), Shashua et al.
patent: 6349265 (2002-02-01), Pitman et al.
patent: 6381507 (2002-04-01), Shima et al.
patent: 6404743 (2002-06-01), Meandzija
patent: 6408321 (2002-06-01), Platt
patent: 6441821 (2002-08-01), Nagasawa
patent: 6470360 (2002-10-01), Vaitheeswaran
patent: 6501857 (2002-12-01), Gotsman et al.
patent: 6510433 (2003-01-01), Sharp et al.
patent: 6535919 (2003-03-01), Inoue et al.
patent: 6549943 (2003-04-01), Spring
patent: 6591004 (2003-07-01), VanEssen et al.
patent: 6631364 (2003-10-01), Rioux et al.
patent: 6631403 (2003-10-01), Deutsch et al.
patent: 6691096 (2004-02-01), Staats
patent: 6701305 (2004-03-01), Holt et al.
patent: 6721454 (2004-04-01), Qian et al.
patent: 6724931 (2004-04-01), Hsu
patent: 6732124 (2004-05-01), Koseki et al.
patent: 6738356 (2004-05-01), Russell et al.
patent: 6741744 (2004-05-01), Hsu
patent: 6782051 (2004-08-01), Pesquet-Popescu
patent: 6789128 (2004-09-01), Harrison et al.
patent: 6856945 (2005-02-01), Thomas et al.
patent: 6873724 (2005-03-01), Brand
patent: 7006683 (2006-02-01), Brand
patent: 7085426 (2006-08-01), August
patent: 7130484 (2006-10-01), August
patent: 7193544 (2007-03-01), Fitelson et al.
patent: 7280985 (2007-10-01), Vasilescu
patent: 7379925 (2008-05-01), Vasilescu et al.
patent: 7400736 (2008-07-01), Dedieu et al.
A highly scalable spherical microphone array based on an orthonormal decomposition of the soundfield Meyer, J.; Elko, G.; Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). IEEE International Conference on vol. 2, 2002 pp. 1781-1784 Digital Object Identifier 10.1109/ICASSP.2002.1006109.
Tree structures for time-frequency signal analysis Akansu, A.N.; Liu, Y.; Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on Apr. 14-17, 1991 pp. 2037-2040 vol. 3 Digital Object Identifier 10.1109/ICASSP.1991.150804.
Succi et al., “A Taxonomy for Identifying a Software Component from Uncertain and Partial Specifications,” ACM, Symposium on Applied Computing, pp. 570-579, 1996.
Colnet et al., “Compiler Support to Customize the Mark and Sweep Algorithm,” ACM, International Symposium on Memory Management, pp. 154-165, 1998.
Baruchelli et al., “A Fuzzy Approach to Faceted Classification and Retrieval of Reusable Software Components,” ACM, SIGAPP Applied Computing Review, vol. 5, Issue 1, pp. 15-20, Spring 1997.
Hassen et al., “A Flexible Operation Execution Model for Shared Distributed Objects,” ACM, Conference on Object Oriented Programming Systems Language and Applications, pp. 30-50, 1996.
O'Connell et al., “Optimizer and Parallel Engine Extensions for Handling Expensive Methods Based on Large Objects, Data Engineering,” IEEE, Proceeding 15th International Conference, pp. 304-313, 1999.
L. Sirovich et al., “Low-dimensional procedure for the characterization of human faces”, J. Opt. Soc. Am A., vol. 4, No. 3 Mar. 1987, pp. 519-524.
Matthew A. Turke et al., “Face Recognition Using Eigenfaces”, IEEE 1991, pp. 586-591.
M. Alex O. Vasilescu et al., “Multilinear Image Analysis for Facial Recognition”, International Conference on Pattern Recognition, Aug. 2002, pp. 1-4.
Vasilescu et al., “Multilinear independent components analysis”, Computer Vision and Pattern Recognition, 2005, pp. 547-553 vol. 1.
Terzopoulos et al., “Model-based and image-based methods for facial image synthesis, analysis and recognition” Automatic Face and Festure Recognition, 2004, Sixth IEEE International Conference on May 17-19, 2004, pp. 3-8.
Vasilescu et al., “Multilinear subspace analysis of image ensembles” Computer vision and Pattern Recognition, 2003, Proceedings 2003 IEEE Computer Society Conference on vol. 2, Jun. 18-20, 2003, pp. 93-99.
Vasilescu, “Human motion signatures: analysis, synthesis, recognition” Pattern Recognition, 2002, Proceedings 16thInternational Conference on vol. 3, Aug. 11-15, 2002, pp. 456-460.
Terzopoulos et al., “Sampling and reconstruction with adaptive meshes” Computer Vision and Pattern Recognition, 1991, Proceedings CVPR '91, IEEE Computer Society Conference on Jun. 3-6, 1991, pp. 70-75.
Vasilescu et al., “Adaptive meshes and shells: irregular triangulation, discontinuities, and hierarchical subdivision” Computer Vision and Pattern Recognition, 1992, Proceedings CVPR '92, IEEE Computer Society Conference on Jun. 15-18, 1992, pp. 829-832.
Liao, S.X. et al., “On image analysis by moments”, Pattern analysis and machine intelligence, IEEE Transactions on vol. 18, Issue 3, Mar. 1996, pp. 254-266 Digital Object Identifier 10.1109/34.485554.
Chantler, M.J. et al., “Automatic interpretation of sonar image sequences using temporal feature measures”, Oceanic Engineering, IEEE Journal of vol. 22, Issue 1, Jan. 1997, pp. 47-56, Digital Object Identifier 10.1109/48.557539.
Glover, J.R., “Knowledge-based signal understanding”, Circuits and Systems, 1988, IEEE International Symposium on Jun. 7-9, 1988, pp. 2367-2370, vol. 3, Digital Object Identifier 10.1109/ISCAS. 1988.15419.
Smyrniotis et al., “A knowledge based system for recognizing man-made objects in aerial images”, Computer vision and Pattern Recognition 1988, Proceedings CVPR '88, Computer Society Conference on Jun. 5-9, 1998, pp. 111-117, Digital Object Identifier 10.1109/CVPR, 1988.196223.
Yu, KK et al. “The scalability of an object descriptor architecture OODBMS”, Database Engineering and Applications, 1999. IDEAS '99, International Symposium Proceedings Aug. 2-4, 1999, pp. 370-377, Digital Object Identifier 10.1109/IDEAS 1999.787287.
A. Eleftheriadis, “MPEG-4 systems: architecting object-based audio-visual content” Multimedia Signal Procession, 1998 IEEE Second Workshop on Dec. 7-9, 1998, pp. 535-540, Digital Object Identifier 10.1109/MMSP 1998.739036.
O'Connell W et al., “Optimizer and parallel engine extensions for handling expensive methods based on large objects”, Data Engineering, 1999, Proceedings, 15thInternational Conference on Mar. 23-26, 1999, pp. 304-3136
Dorsey & Whitney LLP
Holmes Michael B
New York University
LandOfFree
Logic arrangement, data structure, system and method for... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Logic arrangement, data structure, system and method for..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Logic arrangement, data structure, system and method for... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4079931