The event synchronisation task addresses the problem of aligning media (i.e., photo and video) streams (“galleries”) from different users temporally and identifying coherent events in the streams. Our approach uses the visual similarity of image/key frame pairs based on full matching of SIFT descriptors with geometric verification. Based on the visual similarity and the given time information, ...

We discuss some features of the dissipative quantum model of brain in the frame of the formalism of quantum dissipation. Such a formalism is based on the doubling of the system degrees of freedom. We show that the doubled modes account for the quantum noise in the fluctuating random force in the system-environment coupling. Remarkably, such a noise manifests itself through the coherent structur...

The central thesis of this paper is that Rasmussen framed his approach to Cognitive Systems Engineering from the perspective of a Triadic Semiotic Model. This frame became the context for integrating multiple intellectual threads including Control Theory, Information Theory, Ecological Psychology, and Gestalt Psychology into a coherent theoretical framework. The case is made that the triadic se...

Transmit diversity schemes for the coherent multiple-antenna flat-fading channel range from spacetime block codes (STBC) to space-time trellis codes (STTC). In this letter we compare the performance of STBC and STTC by means of frame error rate. We discover that a simple concatenation of STBC with traditional AWGN (additive white Gaussian noise) trellis codes outperforms some of the best known ...

We present a novel framework to reliably learn scene entry and exit locations using coherent motion regions formed by weak tracking data. We construct “entities” from weak tracking data at a frame level and then track the entities through time, producing a set of consistent spatio-temporal paths. Resultant entity entry and exit observations of the paths are then clustered and a reliability metr...

Clustering is the task of grouping a set of objects in such a way that objects in the same group (called cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). The dimension can be reduced by using some techniques of dimension reduction. Recently new non linear methods introduced for reducing the dimensionality of such data called Locally Li...

This paper presents systematic approach to evaluation of compatibility in a broad sense for user-centered and, particularly, user-model based information and industrial control interactive systems. Compatibility is considered as a multi-dimensional multi-level frame and criteria complex for coherent analysis, design, evaluation, redeployment and operational enduser-centered adaptation of human-...

Aiming to create verb paraphrases to lay the foundation of sentence paraphrases I automatically created Hungarian semantic verb classes with k-means algorithm. The vector representation of verbs was special: dimensions were cases and values were sets of lemmas that can fill the verb frame position defined by the case. I clustered 900 frequent verbs, from which 243 got into 71 smaller clusters, ...

A novel GPU-optimized CSG ray-tracing approach is presented that is fast and accurate, and allows achieving real-time frame rates at full-screen resolutions. It has no limitations on the maximum number of primitives, and produces final image in a single pass. We propose an efficient procedure to transform an input CSG tree into equivalent spatially coherent and well-balanced form. Through vario...

We frame behavior in classical conditioning experiments as the product of normative statistical inference. According to this theory, animals learn an internal model of their environment from experience. The basic building blocks of this internal model are latent causes—explanatory constructs inferred by the animal that partition observations into coherent clusters. Generalization of conditioned...