Representing the dynamics of a static form
By Jennifer J. Freyd. 1983
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Josh Tenenbaum
- Yoshua Bengio
- Andrea Vedaldi
- Dacheng Tao
- Trevor Darrell
- Jitendra Malik
- Li Fei-Fei
Citations in the corpus
- What can the brain teach us about building artificial intelligence? (2016, background): “ize, as shown by changing the causal network that underlies the features of objects (Rehder, 2003; Rehder & Hastie, 2001) or the causal prescription for producing new examples of the concept (see Freyd, 1983, for an example related to the Characters Challenge). To explain the role of causality i”
- Concept learning as motor program induction: A large-scale empirical study (2012, background): “Characters, spoken words, and gestures are also “embodied,” since the mind and body can both generate and perceive concepts in these domains (e.g., Liberman, Cooper, Shankweiler, & Studdert-Kennedy, 1967; Freyd, 1983).”
- Structured Document Image Analysis (1992, background): “Therefore, characters should not be considered in an isolated manner but rather, redundant structural information of words is to be utilized [26].”
- One-shot learning by inverting a compositional causal process (2013, unknown): “, [7, 1, 21, 11, 12, 17]).”
- One shot learning of simple visual concepts (2011, background): “Supporting this notion, psychological studies have shown that knowledge about how characters are produced from strokes influences basic perception, including classification (Freyd, 1983) and apparent motion (Tse & Cavanagh, 2000).”