User:GabrieleValentini - Revision history

AndreaBonarini at 11:46, 28 December 2011

2011-12-28T11:46:25Z

2010-11-15T22:14:24Z

2010-07-12T21:12:54Z

‎Past Works

2009-12-20T19:31:17Z

‎Currently Working

2009-12-20T19:30:58Z

‎Currently Working

2009-10-22T19:26:06Z

2009-10-22T19:22:05Z

‎Currently Working

2009-10-22T19:20:32Z

2009-10-22T18:12:59Z

2009-10-22T18:04:12Z

@@ Line 6: / Line 6: @@
 |email=gabriele.valentini@mail.polimi.it
 |advisor=MatteoMatteucci; LuigiMalago
-|status=active
+|status=inactive
 }}
 == Brief Curricula==

@@ Line 3: / Line 3: @@
 |firstname=Gabriele
 |lastname=Valentini
 |email=gabriele.valentini@mail.polimi.it
 |advisor=MatteoMatteucci; LuigiMalago
-|photo=DSCN1731.JPG
+|status=active
 }}
 == Brief Curricula==
 '''English.'''

@@ Line 28: / Line 28: @@
 |title=[[PolyGlove: a body-based haptic interface]]
 |tutor=[[User:GiuseppinaGini|Giuseppina Gini]]
-|description= PolyGlove is a new kind of haptic interfaces, that try to overcome the borders of the present datagloves exploiting the EAP technology. It is desined to perfom still force feedback than tactile feedback, and it does it with several different technologies as polymeric piezo-films, elastomers and eletroheological fluids.
+|description= PolyGlove is a new kind of haptic interface, that try to overcome the limits of the current datagloves exploiting the technology of Electro Active Polymers (EAP). PolyGlove is desined to perfom both the force and tactile feedbacks, and it does it with several different technologies as polymeric piezo-films, elastomers and eletroheological fluids.
 |image=DSCN0522.JPG}}

@@ Line 18: / Line 18: @@
 ===Currently Working===
 {{Project template
-|title=[[Evoptool: Evolutiionary Optimization Tool]]
+|title=[[Evoptool: Evolutionary Optimization Tool]]
 |tutor=[[User:LuigiMalago|Luigi Malago]]
 |description= Combining Estimation of Distribution Algorithms and other Evolutionary techniques for combinatorial optimization. Computer vision provides a large number of optimization problems, such as new-view synthesis, image segmentation, panorama stitching and texture restoration, among the others, (6). One common approach in this context is based on the use of binary Markov Random Fields and on the formalization of the optimization problem as the minimum of an energy function expressed as a square-free polynomial, (5). We are interested in the proposal, comparison and evaluation of different Estimation of Distribution Algorithms for solving real world problems that appear in computer vision

@@ Line 18: / Line 18: @@
 ===Currently Working===
 {{Project template
-|title=[[Evoptool: Evolutive Optimization Tool]]
+|title=[[Evoptool: Evolutiionary Optimization Tool]]
 |tutor=[[User:LuigiMalago|Luigi Malago]]
 |description= Combining Estimation of Distribution Algorithms and other Evolutionary techniques for combinatorial optimization. Computer vision provides a large number of optimization problems, such as new-view synthesis, image segmentation, panorama stitching and texture restoration, among the others, (6). One common approach in this context is based on the use of binary Markov Random Fields and on the formalization of the optimization problem as the minimum of an energy function expressed as a square-free polynomial, (5). We are interested in the proposal, comparison and evaluation of different Estimation of Distribution Algorithms for solving real world problems that appear in computer vision

@@ Line 21: / Line 21: @@
 |tutor=[[User:LuigiMalago|Luigi Malago]]
 |description= Combining Estimation of Distribution Algorithms and other Evolutionary techniques for combinatorial optimization. The evoptool framework offers several implementations of Genetic Algorithms (GA), Estimation Distribution Algorithms (EDA) and Genetic EDA (GEDA).
-|image=Stochastic.jpg}}
+|image=Evolve1at300dpi.gif}}
 ===Past Works===

@@ Line 17: / Line 17: @@
 ==Projects==
 ===Currently Working===
-* [[Evoptool: Evolutive Optimization Tool]] - Combining Estimation of Distribution Algorithms and other Evolutionary techniques for combinatorial optimization. The evoptool framework offers several implementations of Genetic Algorithms (GA), Estimation Distribution Algorithms (EDA) and Genetic EDA (GEDA).
+{{Project template
+|title=[[Evoptool: Evolutive Optimization Tool]]
 ===Past Works===
-* [[PolyGlove: a body-based haptic interface]] - PolyGlove is a new kind of haptic interfaces, that try to overcome the borders of the present datagloves exploiting the EAP technology. It is desined to perfom still force feedback than tactile feedback, and it does it with several different technologies as polymeric piezo-films, elastomers and eletroheological fluids.
 ==Have Some Fun==
 * Genetic Algorithms
 [[Image:Genetic_algorithms.png]]