Statistical Learning Using Real-World Scenes
نویسندگان
چکیده
منابع مشابه
Statistical learning using real-world scenes: extracting categorical regularities without conscious intent.
Recent work has shown that observers can parse streams of syllables, tones, or visual shapes and learn statistical regularities in them without conscious intent (e.g., learn that A is always followed by B). Here, we demonstrate that these statistical-learning mechanisms can operate at an abstract, conceptual level. In Experiments 1 and 2, observers incidentally learned which semantic categories...
متن کاملUsing real-world scenes as contextual cues for search
The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae, and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caus...
متن کاملObject-based attention in real-world scenes.
We are continually confronted with more visual information than we can process in a given moment. In order to interact effectively with our environment, attentional mechanisms are used to select subsets of environmental properties for enhanced processing. Previous research demonstrated that spatial regions can be selected based on either their low-level feature or high-level semantic properties...
متن کاملExtracting text from real-world scenes
Many scenes contain significant textual information that can be extremely helpful for understanding and/or navigation. For example, text-based information can frequently be the primary cure used for navigating inside buildings. One might first read a marquee, then look for an appropriate hallway and walk along reading door signs and nameplates until the destination is found. Optical character r...
متن کاملCapturing, Processing and Rendering Real- World Scenes
While photographs vividly capture a scene from a single viewpoint, it is our goal to capture a scene in such a way that a viewer can freely move to any viewpoint, just as he or she would in an actual scene. We have built a prototype system to quickly digitize a scene using a laser rangefinder and a high-resolution digital camera that accurately captures a panorama of high-resolution range and c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Psychological Science
سال: 2008
ISSN: 0956-7976,1467-9280
DOI: 10.1111/j.1467-9280.2008.02142.x