The neural network objects Kunze, Marcel; Steffens, Johannes
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
04/1997, Volume:
389, Issue:
1
Journal Article
Peer reviewed
The neural network objects (NNO) is a C++ class library that contains the most popular standard neural networks together with self-organizing incremental models. The implementation takes full ...advantage of the OO-paradigm, i.e. all models are derived from the same abstract base classes which deal with the data structures and learning algorithms at one central place. All NNO are persistent: After training they save themselves to permanent store in a computer independent format and may be re-activated for further training or recall cycles, even on a different computer.
This article consists of a collection of slides from the author's conference presentation on Google's Goggles, the company's mobile visual search application that is currently available for Android ...mobile phones. It allows users to submit a search query by taking a picture.
The authors present a real-time face recognition system which is able to capture, track and recognize a person walking toward a stereo CCD camera. The system is built for real world applications ...where environmental conditions like illumination, background structure and room architecture are specified only roughly or not at all. The program is implemented on a 4-processor system running UNIX and reaches a recognition speed of 6-8 persons per minute.
We present an automatic module that can determine the pose of a human face from a digitized portrait-style image. The module is integrated into a larger system called PersonSpotter, which is able to ...recognize people by their faces coming from a live video stream of data. The pose estimation module is based on bunch graph matching and can distinguish between five different degrees of rotation in depth. The system features close to real-time performance, considerable decrease in data size and increase in the accuracy of pose recognition compared to similar systems developed in the past. Pose estimation success rate of 98.5% has been reached for a set of 210 faces rotated in various degrees and directions.
Statistical analysis of Gabor-filter representation Kalocsai, P.; Neven, H.; Steffens, J.
Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition,
1998
Conference Proceeding
A successful face recognition system calculates similarity of face images based on the activation of multiscale and multiorientation Gabor kernels, but without utilizing any statistical properties of ...that representation. A method has been developed to weight the contribution of each element (1920 kernels) in the representation according to their power of predicting similarity of faces. The same statistical method has also been used to assess how changes in orientation (horizontal and vertical), expression, illumination and background contribute to the overall variance in the kernel activations. Weighting the elements in the representation according to their discriminative power has shown to increase recognition performance on a Caucasian and on a Japanese test image-set. It has also been demonstrated that such weighting method is particularly useful when data compression is a key requirement.
Stutzuhr Steffens, Johannes (17. Jh.); Hersteller
Den Haag, um 1674 (Herstellung)
Image
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Abstract
The quantum spin liquid is a highly entangled magnetic state characterized by the absence of static magnetism in its ground state. Instead, the spins fluctuate in a highly correlated way ...down to the lowest temperatures. Quantum spin liquids are very rare and are confined to a few specific cases where the interactions between the magnetic ions cannot be simultaneously satisfied (known as frustration). Lattices with magnetic ions in triangular or tetrahedral arrangements, which interact via isotropic antiferromagnetic interactions, can generate such a frustration. Three-dimensional isotropic spin liquids have mostly been sought in materials where the magnetic ions form pyrochlore or hyperkagome lattices. Here we present a three-dimensional lattice called the hyper-hyperkagome that enables spin liquid behaviour and manifests in the compound PbCuTe
2
O
6
. Using a combination of experiment and theory, we show that this system exhibits signs of being a quantum spin liquid with no detectable static magnetism together with the presence of diffuse continua in the magnetic spectrum suggestive of fractional spinon excitations.
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