19. A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, comprising: a model generation unit configured to generate a weak classifier model as a basis of a weak classifier based on a plurality of data for learning, in each of which whether or not the specific pattern is included is given; an update unit configured to update state parameters of a weak classifier generated based on the weak classifier model generated by the model generation unit until the weak classifier satisfies a predetermined performance; and a management unit configured to manage an update history of the state parameters of the weak classifier in each stage updated by the update unit, wherein the update unit selects and updates a state parameter of a stage to be updated of the weak classifier from the update history managed by the management unit based on a performance evaluation result of the weak classifier.
19. A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, comprising: a model generation unit configured to generate a weak classifier model as a basis of a weak classifier based on a plurality of data for learning, in each of which whether or not the specific pattern is included is given; an update unit configured to update state parameters of a weak classifier generated based on the weak classifier model generated by the model generation unit until the weak classifier satisfies a predetermined performance; and a management unit configured to manage an update history of the state parameters of the weak classifier in each stage updated by the update unit, wherein the update unit selects and updates a state parameter of a stage to be updated of the weak classifier from the update history managed by the management unit based on a performance evaluation result of the weak classifier. 20. The apparatus according to claim 19 , wherein the data for learning is an image, the model generation unit comprises a statistical processing unit configured to calculate a statistical nature of the data for learning as the image, and the model generation unit generates the weak classifier model based on the statistical nature calculated by the statistical processing unit.