One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...

In this paper we present an efficient technique to obtain accurate semantic classification on the pixel level capable of integrating various modalities, such as color, edge responses, and height information. We propose a novel feature representation based on Sigma Points computations that enables a simple application of powerful covariance descriptors to a multi-class randomized forest framewor...

One facet of the question of integration of Logic and Connectionist Systems, and how these can complement each other, concerns the points of contact, in terms of semantics, between neural networks and logic programs. In this paper, we show that certain semantic operators for propositional logic programs can be computed by feedforward connectionist networks, and that the same semantic operators ...

background periodontium may be able to respond to injuries by regeneration via the function of stem cells. objectives this study sought to assess the differentiation of human periodontal ligament stem cells (pdlscs) into osteoblasts in standard osteogenic medium and in a medium supplemented with 1,25-dihydroxyvitamin d3 (calcitriol). materials and methods in this experimental study, pdlscs were...

Recently, point-based networks have begun to prevail because they retain more original geometric information from point clouds than other deep learning-based methods. However, we observe that: (1) the set abstraction design for local aggregation in neglects that points a region may belong different semantic categories, and (2) most works focus on single-scale features while ignoring importance ...

Location data generated from GPS equipped moving objects are typically collected as streams of spatiotemporal 〈x, y, t〉 points that when put together form corresponding trajectories. Most existing studies focus on building ad-hoc querying, analysis, as well as data mining techniques on formed trajectories. As a prior step, trajectory construction is evidently necessary for mobility data process...

Semantic segmentation of point clouds, aiming to assign each a semantic category, is critical 3D scene understanding.Despite significant advances in recent years, most existing methods still suffer from either the object-level misclassification or boundary-level ambiguity. In this paper, we present robust network by deeply exploring geometry dubbed GeoSegNet. Our GeoSegNet consists multi-geomet...

background: this cross sectional comparative study was performed to compare the mean fluorescence intensity of cluster of differentiation 45 between healthy individuals and patients with acute lymphoblastic leukemia. patients and methods: thirty three healthy individuals (mean age 11 years) and 41 patients with b cell acute lymphoblastic leukemia (mean age 7 years) were enrolled in the study in...

Quality improvement is understood by Juran to be the systematic pursuit of improvement opportunities in production processes. Several methodologies are proposed in literature for quality improvement projects. Three of these methodologies – Taguchi’s methods, the Shainin system and the Six Sigma programme – are compared. The comparison is facilitated by a methodological framework for quality imp...