13 citations · 20 across the 7 of their papers we have counts for
8 papers
Efficient Weingarten Map and Curvature Estimation on Manifolds
Yueqi Cao, Didong Li, Huafei Sun +2
In this paper, we propose an efficient method to estimate the Weingarten map for point cloud data sampled from manifold embedded in Euclidean space. A statistical model is establis…
Perception of Motion and Architectural Form: Computational Relationships between Optical Flow and Perspective
Arash Sangari, Hasti Mirkia, Amir H. Assadi
Perceptual geometry refers to the interdisciplinary research whose objectives focuses on study of geometry from the perspective of visual perception, and in turn, applies such geom…
Mathematical Analysis and Computational Integration of Massive Heterogeneous Data from the Human Retina
Arash Sangari, Adel Ardalan, Larry Lambe +2
Modern epidemiology integrates knowledge from heterogeneous collections of data consisting of numerical, descriptive and imaging. Large-scale epidemiological studies use sophistica…
Information Surfaces in Systems Biology and Applications to Engineering Sustainable Agriculture
Hesam Dashti, Alireza Siahpirani, James Driver +1
Systems biology of plants offers myriad opportunities and many challenges in modeling. A number of technical challenges stem from paucity of computational methods for discovery of…
Applications of Machine Learning Methods to Quantifying Phenotypic Traits that Distinguish the Wild Type from the Mutant Arabidopsis Thaliana Seedlings during Root Gravitropism
Hesam T. Dashti, Jernej Tonejc, Adel Ardalan +5
Post-genomic research deals with challenging problems in screening genomes of organisms for particular functions or potential for being the targets of genetic engineering for desir…
Pattern Recognition in Collective Cognitive Systems: Hybrid Human-Machine Learning (HHML) By Heterogeneous Ensembles
Hesam T. Dashti, Adel Ardalan, Alireza F. Siahpirani +7
The ubiquitous role of the cyber-infrastructures, such as the WWW, provides myriad opportunities for machine learning and its broad spectrum of application domains taking advantage…
Parallel Evolutionary Computation in Very Large Scale Eigenvalue Problems
Hesam T. Dashti, Alireza F. Siahpirani, Liya Wang +2
The history of research on eigenvalue problems is rich with many outstanding contributions. Nonetheless, the rapidly increasing size of data sets requires new algorithms for old pr…
Introduction of Empirical Topology in Construction of Relationship Networks of Informative Objects
Hesam T. Dashti, Mary E. Kloc, Tiago Simas +2
Understanding the structure of relationships between objects in a given database is one of the most important problems in the field of data mining. The structure can be defined for…