Learning Recognition and Segmentation Using the Cresceptron

By Juyang Weng, Narendra Ahuja, Thomas S. Huang. 1997

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. J. Weng
2. Richard I. Hartley
3. Adrien Baranes
4. Pierre-Yves Oudeyer
5. Matthew D. Luciw
6. David Vernon

Citations in the corpus

• Face Recognition (2018, unknown): “A di(cid:11)erent example of automatic feature derivation for face recognition is the Cresceptron [Weng et al., 1993] tested for general object segmentation and recognition, including faces.”
• Developmental Robotics: Theory and Experiments (2004, methodology): “Cresceptron is an interactive software system for visual recognition and segmentation.(52) The major contribution is a method to automatically generate (grow) a network for recognition from training images.”