Searching for authors named "Manolis Wallace" – sorted by Relevance.

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13 documents found, showing 1 through 10. Next 10 →

Computationally efficient incremental transitive closure of sparse fuzzy binary relations. Submitted to The
by Manolis Wallace — 2004 — IEEE International Conference on Fuzzy Systems (FUZZ-IEEE
…Abstract — Existing literature in the field of transitive relations focuses mainly on dense, Boolean, undirected relations. With the emergence of a new area of intelligent retrieval, where sparse transitive fuzzy ordering relations are utilized, existing theory and methodologies need to be extended,…
Cited by 4 (4 self) – Add To MetaCart

Soft Attribute Selection for Hierarchical Clustering in High Dimensions
by Manolis Wallace — 2003 — Proceedings of the International Fuzzy Systems Association World Congress(IFSA
…In this paper we perform an hierarchical clustering in high – dimensional spaces, without first applying any space reduction. Instead, in each step of the algorithm we perform a soft feature selection, witch does not have to be shared among all input elements. The main goal is to correctly identify …
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Iterated Function Systems as Human Perceivable Spectral Tests of Randomness
by Manolis Wallace, Hara Stefanou, Stefanos Kollias
…Abstract:- The deterministic generation of pseudorandom sequences is not a trivial task. Quite the contrary; even chaotic functions are often poor pseudorandom sequence generators. Thus, given the range of applications that require random inputs and the cost of actual random number generating equipm…
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of salient regions in successive CT images
by Thanos Athanasiadis, Manolis Wallace, Kostas Karpouzis, Stefanos Kollias
…Abstract. This study presents an integrated approach to locating and presenting the medical practitioner with salient regions in a computed tomography (CT) scan when focusing on the area of the liver. A number of image processing tasks are performed in successive scans to extract areas with a differ…
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Facial expression classification based on MPEG-4 FAPs: The use of evidence and prior knowledge for uncertainty removal
by Manolis Wallace, Amaryllis Raouzaiou, Nicolas Tsapatsoulis, Stefanos Kollias — 2004 — Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE
…Abstract — As low resolution shots, rotations of the head with respect to the camera, face deformation due to speech and so on inflict a great deal of uncertainty in FAP measurements, uncertainty is also inherent in the process of expression analysis. In this paper we tackle such uncertainty via the…
Cited by 5 (3 self) – Add To MetaCart

Using k-nearest neighbor and feature selection as an improvement to hierarchical clustering
by Phivos Mylonas, Manolis Wallace, Stefanos Kollias — 2004 — Eds.), Methods and Applications of Artificial Intelligence, Springer Verlag LNCS
…Abstract. Clustering of data is a difficult problem that is related to various fields and applications. Challenge is greater, as input space dimensions become larger and feature scales are different from each other. Hierarchical clustering methods are more flexible than their partitioning counterpar…
Cited by 4 (3 self) – Add To MetaCart

S.: Confidencebased fusion of multiple feature cues for facial expresssion recognition
by Spiros Ioannou, Manolis Wallace, Kostas Karpouzis, Amaryllis Raouzaiou, Stefanos Kollias — 2005 — In: The 14th IEEE International Conference on Fuzzy Systems
…Abstract — Since facial expressions are a key modality in human communication, the automated analysis of facial images for the estimation of the displayed expression is essential in the design of intuitive and accessible human computer interaction systems. In most existing rule-based expression reco…
Cited by 2 (1 self) – Add To MetaCart

Combination of multiple extraction algorithms in the detection of facial features
by Spiros Ioannou, Manolis Wallace, Kostas Karpouzis, Amaryllis Raouzaiou, Stefanos Kollias — 2005 — Proceedings of the IEEE International Conference on Image Processing (ICIP), September
…Automated analysis of facial images for the estimation of the displayed expression is essential in the design of intuitive and accessible human computer interaction systems. In existing rule-based expression recognition approaches, different feature extraction techniques have been tested that allow …
Cited by 1 (1 self) – Add To MetaCart

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