A method of updating a set of classifiers includes applying a first set of classifiers to a first set of data. The method further includes requesting, from a remote device, a classifier update based on an output of the first set of classifiers or a performance measure of the application of the first set of classifiers.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of updating a set of classifiers comprising: applying a first set of classifiers to a first set of data; and requesting, from a remote device, a classifier update based at least in part on at least one of an output of the first set of classifiers or a performance measure of the application of the first set of classifiers. 2. The method of claim 1, in which the requesting is based at least in part on context information. 3. The method of claim 1, in which the performance measure comprises an accuracy of the classifiers, a level of agreement of multiple classifiers, or a speed of computation of the classifiers. 4. The method of claim 1, in which the first set of classifiers and the classifier update are built on a same feature generator. 5. The method of claim 1, in which the first set of classifiers comprises a general classifier and the classifier update comprises a specific classifier. 6. The method of claim 5, further comprising applying the specific classifier to an object to identify a specific class of the object. 7. The method of claim 1, in which the remote device is configured to apply the first set of classifiers. 8. The method of claim 7, further comprising: computing features and transmitting the computed features to the remote device, the remote device applying the first set of classifiers to the computed features to compute a classification. 9. An apparatus for updating a set of classifiers comprising: a memory; and at least one processor coupled to the memory, the at least one processor being configured: to apply a first set of classifiers to a first set of data; and to request, from a remote device, a classifier update based at least in part on at least one of an output of the first set of classifiers or a performance measure of the application of the first set of classifiers. 10. The apparatus of claim 9, in which the at least one processor is further configured to request the classifier update based at least in part on context information. 11. The apparatus of claim 9, in which the performance measure comprises an accuracy of the classifiers, a level of agreement of multiple classifiers, or a speed of computation of the classifiers. 12. The apparatus of claim 9, in which the first set of classifiers and the classifier update are built on a same feature generator. 13. The apparatus of claim 9, in which the first set of classifiers comprises a general classifier and the classifier update comprises a specific classifier. 14. The apparatus of claim 13, in which the at least one processor is further configured to apply the specific classifier to an object to identify a specific class of the object. 15. The apparatus of claim 9, in which the remote device is configured to apply the first set of classifiers. 16. The apparatus of claim 15, in which the at least one processor is further configured: to compute features and transmit the computed features to the remote device, the remote device applying the first set of classifiers to the computed features to compute a classification. 17. An apparatus for updating a set of classifiers comprising: means for applying a first set of classifiers to a first set of data; and means for requesting, from a remote device, a classifier update based at least in part on at least one of an output of the first set of classifiers or a performance measure of the application of the first set of classifiers. 18. A computer program product for updating a set of classifier comprising: a non-transitory computer readable medium having encoded thereon program code, the program code comprising: program code to apply a first set of classifiers to a first set of data; and program code to request, from a remote device, a classifier update based at least in part on at least one of an output of the first set of classifiers or a performance measure of the application of the first set of classifiers.