ROBERT HECHT-NIELSEN
Pilots at Del Mar Hts Rd, Del Mar, CA

4783754, Nov 8, 1988

Jul 2, 1984

6/627242

Jerald L. Bauck - Mesa AZ
Robert Hecht-Nielsen - Del Mar CA

Motorola, Inc. - Schaumburg IL

G01L 106, G06F 1534

3645135

The signal to be classified is sampled and the samples are multiplied by weighting functions prior to performing discrete Fourier transforms, power calculations, and normalization thereon so that the preprocessor is essentially a plurality of channel bandpass filter stages, the k-th one of which has a frequency response approximating an ideal filter defined by ##EQU1## where k=O,. alpha. , 2. alpha. , 3. alpha. ,. . . , r. alpha. . alpha. =constant, 1. ltoreq. alpha. ltoreq. N/2 r+1=greatest integer in N/. alpha. This preprocessor transforms blocks of one dimensional data into spectra in such a way that data blocks coming from similar sources will have spectra that are close to one another in spectrum space. The discrete Fourier transform is modified to remove or reduce the phase dependency problem and to enhance the clustering of similar spectra by the weighting function above.

2004024, Dec 9, 2004

Jun 14, 2004

10/868538

William Caid - San Diego CA, US
Robert Hecht-Nielsen - Del Mar CA, US

G06F007/00, G06F017/30, G06F015/18, G06K009/00

706/014000, 707/003000

Image features are generated by performing wavelet transformations at sample points on images stored in electronic form. Multiple wavelet transformations at a point are combined to form an image feature vector. A prototypical set of feature vectors, or atoms, is derived from the set of feature vectors to form an “atomic vocabulary.” The prototypical feature vectors are derived using a vector quantization method, e.g., using neural network self-organization techniques, in which a vector quantization network is also generated. The atomic vocabulary is used to define new images. Meaning is established between atoms in the atomic vocabulary. High-dimensional context vectors are assigned to each atom. The context vectors are then trained as a function of the proximity and co-occurrence of each atom to other atoms in the image. After training, the context vectors associated with the atoms that comprise an image are combined to form a summary vector for the image. Images are retrieved using a number of query methods, e.g., images, image portions, vocabulary atoms, index terms. The user's query is converted into a query context vector. A dot product is calculated between the query vector and the summary vectors to locate images having the closest meaning. The invention is also applicable to video or temporally related images, and can also be used in conjunction with other context vector data domains such as text or audio, thereby linking images to such data domains.

5359697, Oct 25, 1994

Mar 25, 1985

6/715429

Jack L. Smith - San Diego CA
Robert Hecht-Nielsen - Del Mar CA

TRW Inc. - Redondo Beach CA

G06F 1518

395 3

A "fuzzy" associative memory system, and a related method for its use, the system having a large data vector memory for the storage of a large number of vectors having multiple data fields, to be compared with a number of comparison windows defined by upper and lower limits for each data field of the vectors. Output results in the form of match indications are accumulated in an output buffer for output to a host computer, which also initiates the searches. The large data vector memory facilitates window searching and searching for the closest neighbors to a given vector. It also provides a technique for searching large numbers of windows, and for classifying unknown patterns even when pattern classes are irregular in shape.

4894658, Jan 16, 1990

Nov 4, 1983

6/548732

Robert Hecht-Nielsen - Del Mar CA
Laird C. Taylor - Higley AZ

Motorola, Inc. - Schaumburg IL

G01S 1389

342 90

A method of data reduction in non-coherent SLAR systems enhances the usefulness of such systems in moving target environments. Digitized MT data is processed to identify and classify target footprints. At least some of the footprints are replaced by an indicator of the centroid thereof and its motion. Clutter is rejected. Other footprints are replaced with truncated versions thereof. The technique is suitable for real time application.

2006024, Nov 2, 2006

Mar 17, 2006

11/384015

Robert Hecht-Nielsen - Del Mar CA, US
Cheryl John - Greenbrae CA, US

G06Q 40/00

705044000, 705039000

Secure commerce systems and methods are disclosed. Commercial security is first provided by identity verification via voice authentication using voice similarity analysis, and by a set of random, continually-changing passwords that can be encrypted and uniquely identified with a fictitious and anonymous user name. Each anonymous user name is uniquely associated with a consumer's real identity that is protected by a set of security measures of a Knowledge Manager (KM), for use with an Anonymous Payment Card (APC) and an Anonymous Internet-email Account. The KM issues a fictitious, “one-time” (e.g. never re-used) APC number and user name to a participating consumer who wishes to attain anonymity, along with a mailing address at a “Ghost Shipping” location, such that packages sent to the consumer can be re-packaged and re-shipped to the consumer without the seller or the shipper knowing the consumer's real identity.