QuEST Weekly Meeting, October 23rd

QUEST Topics 23 Oct, 2009:

1.)  Synaesthesia (experiences sensations in one modality when a second modality is stimulated. For example, a synaesthete may experience a specific colour whenever she encounters a particular tone) and its implications to perception, thought and language – a revisit to the work of Ramachandran with emphasis on our definition of qualia as a key to concept encoding. Concept encoding is the major problem we face in persistent sensing! The idea is ‘synaesthesia may provide a window into perception, thought and language…our interest lies in What is the exact connection — if any — between metaphor and synaesthesia? – and specifically what is the relationship or insight in concept encoding … really interesting experiment using hierarchical figure (say a ‘5’ composed of ‘3’s — when they induce different color what would you expect the patient to experience?)… a key result – although the visual form is necessary for the perception of the colours, the way in which it is classified is important in determining which colour is actually evoked…another interesting experiment – ‘Finished files are the result of years of scientific study combined with the experience of years’ and other such examples of unitization (Goldstone, 2000; LaBerge & Samuels, 1974) to one of our higher synaesthetes (RT) and asked her to count the number of ‘F’s in it. Non-synaesthetes usually detect only three — they are ‘blind’ to ‘F’ in the three ‘of’s because words such as ‘of’ come to be treated as single lexical units…. Perky effect ….relation to concept encoding – often been suggested that concepts are represented in brain maps in the same way that percepts (like colours or faces) are. One such example is the concept of number, a fairly abstract concept — laws of qualia (4 functional insights proposed) … discussion of whether there can be ‘partial qualia’ – idea of martian colors …

2.) Return to our Types of Qualia discussion – if our extension of the qualia idea to encompass concept encoding is something we want to stay with then what are the differences in the functional aspects of the types of qualia.  From Just-Noticeable-Difference level qualia to compound qualia and ‘affordance’ qualia.

3.) An article provided by Prof Mills on Case based Reasoning. – … idea is that – ‘Reasoning is often modeled as a process that draws conclusions by chaining together generalized rules, starting from scratch. Case-based reasoning (CBR) takes a very different view. In CBR, the primary knowledge source is not generalized rules but a memory of stored cases recording specific prior episodes. In CBR, new solutions are generated not by chaining, but by retrieving the most relevant cases from memory and adapting them to the new situation’

4.)    An optical illusion set.

5.) LabelMe – ‘to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and quantitative evaluation. To achieve this, we developed a web-based tool that allows easy image annotation and instant sharing of such annotations.’ … The MIT researchers’ new system essentially treats unrelated images as if they were consecutive frames in a video sequence. When the modified motion estimation algorithm tries to determine which objects have “moved” between one image and the next, it usually picks out objects of the same type: it will guess, for instance, that the 2006 Infiniti in image two is the same object as the 1965 Chevy in image one… Torralba and his colleagues have developed a simple web-based system called LabelMe that lets online volunteers tag objects in digital images, and they also created a web site called 80 Million Tiny Images that sorts the images according to subject matter… you look at his last few Siggraph papers” — that is, papers presented at Siggraph, the major conference in the field of computer graphics — “they’re all using LabelMe,”

6.)    Fetch Lab – Idea this is another problem in code breaking thus one we can related to Turing … The mission of FETCH/LAB is to enhance the understanding and interaction of humans and animals. We are committed to enhancing our knowledge of canine hearing loss and its interactive effects on pets and their owners. We are dedicated to the advancement of the understanding of animal hearing and animal vocalization through research, education and collaboration.

7.)    Collaborative Filtering – (in response to the review of the NETFLIx result and the question by Col Ryer) method of making automatic predictions (filtering) about the interests of a user by collecting taste information from many users (collaborating). The underlying assumption of CF approach is that those who agreed in the past tend to agree again in the future

8.)    Cleverbot – another NLU application – agent based interactions is the goal

9.)    Petimo – an application that mixes reality with virtual interactions – idea is to allow only real world ‘friends’ interact in the virtual space (protect children)

10.)         News:

a.     Augmented reality – summary of At this week’s International Symposium on Mixed and Augmented Reality (ISMAR 09) in Orlando, Florida, leading researchers will present systems designed to push the boundaries of AR–allowing users to interact with and manipulate virtual data, share real and virtual space with others, and see real time information around them

b.    Article on china’s use of UAVs.

c.      Dispute finder for the web – Dispute Finder, sniffs through what you are reading online. If anything smells fishy – perhaps questionable poll results or references to “death panels” – Ennals’s code blows a whistle and says, “This is disputed. Here’s the evidence.”… Dispute Finder starts to compare what you read online to its database of recognized contentions. *** this makes it useless – need something to detect disputed facts in new situations *** When you stumble upon a dubious claim, the program automatically highlights that section in pink. … interesting idea on what evidence of dispute you might accept – “If you are reading something from Fox News that’s disputed, I would want to give that reader another conservative source, rather than give them evidence from The New York Times,” Ennals says. “Otherwise, if you’re a right-wing person, you’re likely to dismiss it.”

d.     Plant recognition of siblings – Canadian researchers published in 2007 that sea rocket, a common seashore plant, can recognize its siblings — plants grown from seeds from the same mother siblings are grown next to each other in the soil, they “play nice” and don’t send out more roots to compete with one another… moment one of the plants is thrown in with strangers, it begins competing with them by rapidly growing more roots to take up the water and mineral nutrients in the soil

e.     Recommender systems for learning – basis of the most appropriate techniques, he developed a prototype navigation system. He set up experiments to determine whether such a system does de facto offers an added value to the target group

f.       Wowd – says that its search results include only pages that have actually been visited by its users, and that its ranking algorithms offer information based on its freshness and popularity… trying to strike a balance between the up-to-date but chaotic results produced by a site like Twitter and the slower-to-change results that come from traditional search engines such as Google…. interested in is reference search, Google is great, and we don’t imagine that we or anyone else is going to displace that,” Drummond says. “If, instead, you want to find out what the planet is talking about, that’s where we think Wowd can win.

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