The paper introduces mixed networks, a new framework for expressing and reasoning with probabilistic and deterministic information. The framework combines belief networks with constraint networks, defining the semantics and graphical representation. We also introduce the AND/OR search space for graphical models, and develop a new linear space search algorithm. This provides the basis for unders...

The order relation on the set of completely n-positive linear maps from a pro-C-algebra A to L(H), the C-algebra of bounded linear operators on a Hilbert space H, is characterized in terms of the representation associated with each completely n-positive linear map. Also, the pure elements in the set of all completely n-positive linear maps from A to L(H) and the extreme points in the set of uni...

Neuropsychological and neuroimaging studies suggest distinct body representations involved in coding one's and others' body. Other influential theories, however, instead posit a unique model behind coding multisensory information about one's own body and visual information about others. An efficient way to further investigate this issue can be through testing individuals with anomalous anatomic...

In this paper, we present a novel deformable model for soft tissue simulation in a real-time manner. The innovative model consists of two submodels: the surface one and the internal one, which are based on Mass-Spring system and Medial Representation respectively. This proposed model is more accurate and efficient than the pure surface Mass-Spring one by taking advantages of Medial Representati...

Requirements are typically specified in natural languages (NL) such as English and then analyzed by analysts and developers to generate formal software design/model. However, English is ambiguous and the requirements specified in English can result in erroneous and absurd software designs. We propose a semantically controlled representation based on SBVR for specifying requirements. The SBVR ba...

Using the theory of generalized random fields on fractional Sobolev spaces on bounded domains, and the concept of dual generalized random field, this paper introduces a class of random fields with fractional-order pure point spectra. The covariance factorization of an a-generalized random field having a dual is established, leading to a white-noise linearfilter representation, which reduces to ...

An inference engine for a hybrid representation scheme based on neurules is presented. Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist representation (adaline unit). The inference engine uses a connectionist technique, which is based on the ‘firing potential’, a measurement of the firing tendency of a neurule, and symbolic pattern matching. It ...

Attentional selection implies preferential treatment of some sensory stimuli over others. This requires differential representation of attended and unattended stimuli. Most previous research has focused on pure rate codes for this representation but recent evidence indicates that a mixed code, involving both mean firing rate and temporal codes, may be employed. Of particular interest is a disti...

Recent biological evidence suggests that position and orientation can be estimated from an adequately compressed set of environment snapshots and their relationships. In this paper we present a pure appearance-based localisation method using an eigenspace representation of panoramic images. We rst review several types of rotational invariant representation of panoramic images in terms of their ...

As with most computer science problems, representation of the data is the key to ecient and eective solutions. Piecewise linear representation has been used for the representation of the data. This representation has been used by various researchers to support clustering, classication, indexing and association rule mining of time series data. A variety of algorithms have been proposed to obtain...