This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 stage classification procedure where an initial classification stage extracts a high level description of hand shape and motion. This high level description is based upon sign linguistics and describes actions at a conceptual l...

Classifications/ontologies, thesauri, and dictionaries serve many functions, which are summarized in this note. As a result of this multiplicity of functions, classifications – often called ontologies – are developed in many communities of research and practice. Unfortunately, there is little communication and mutual learning; thus, efforts are fragmented, resulting in considerable reinvention ...

Analysis of bibliographic references is becoming a tool of studying information processes in science, of classification of documents. In order to classifL documents in a field of knowledge it is important to study all references in the documents, connected with the given direction of research. The numerically expressed data of citing practices within the field should be followed by hrther conce...

Abstract This paper proposes a new natural kinds framework according to which kindhood is relational, dynamic, and scale-relative . Reflecting on the ontogenesis of scientific classification, I argue that there are two distinct conceptual stages classification: first stage in enough entities relations must be authenticated for emerge second nature investigated. The explains both changing themse...

Health-status classification systems that use preference-based approaches, including multi-attribute utility functions, are critically examined in this chapter. Five major issues are considered: an underlying conceptual framework; the definition of health status; choice of domains; relationships among the domains; and obtaining data on the quality of population health. (Related issues are discu...

The research proposes a planning scenario of critical success factors (CSFs) "conceptual-framework" for enterprise systems (ES) of Smart aircraft factory. Application of knowledge discovery and classification algorithms is applied to draw probabilistic inferences based on FP-Growth-algorithm blended with a novel approach based on "balanced scorecard (BSC) architecture".

The emergence of behavioral economics is one of the most significant conceptual developments in the social sciences in the past 40 years. The central figure in the field in its early years was Richard Thaler. In this article, I review and discuss his scientific contributions. JEL classification: B2, D9, G1

There are few academic works on game loop models and algorithms in the literature. Also, the literature lacks a comprehensive conceptual framework for real time game loops. This paper proposes a general classification for real time game loop models and presents an algorithm that improves one of the most common models for single-player computer games.

No replication is truly direct, and I recommend moving away from the classification of replications as “direct” or “conceptual” to a framework in which we accept that treatment effects vary across conditions. Relatedly, we should stop labeling replications as successes or failures and instead use continuous measures to compare different studies, again using meta-analysis of raw data where possi...

Following Blumenthal et al. 1] and Piran et al. 2] I discuss a simple model for the gravitational formation of voids. This model enables us to estimate the primordial perturbation required on the scale of voids. A comparison of this condition with the constraints on the spectrum of uctuations derived from CMBR observations reveals that gravitational growth of large voids require more power on t...